WO2019007333A1

WO2019007333A1 - Method and apparatus for generating data

Info

Publication number: WO2019007333A1
Application number: PCT/CN2018/094303
Authority: WO
Inventors: 李卫敏; 袁志锋; 戴建强
Original assignee: 中兴通讯股份有限公司
Priority date: 2017-07-03
Filing date: 2018-07-03
Publication date: 2019-01-10
Also published as: CN109245796A; CN109245796B

Abstract

Disclosed are a method and an apparatus for generating data. The method comprises: acquiring a third sequence according to a first sequence and a second sequence, or acquiring the third sequence from a first sequence set; and processing first data by using the third sequence to generate second data, the second sequence being obtained by processing a fourth sequence, or the second sequence being acquired from a third sequence set obtained by processing a second sequence set, or the second sequence being acquired from a preset sequence set, and the first sequence set being obtained according to the second sequence set and the third sequence set, or the first sequence set being a preset first sequence set.

Description

Method and device for generating data

The present application claims priority to Chinese Patent Application No. JP-A No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. .

Technical field

The present disclosure relates to the field of wireless communication technologies, for example, to a method and apparatus for generating data.

Background technique

The 5th-generation (5G) communication technology and the future communication technology application scenarios in the related technologies include enhanced mobile broadband (eMBB), massive machine type communication (mMTC), and high reliability. Ultra Reliability Low Latency Communication (URLLC). The eMBB scenario is used to support mobile broadband. The main service requirements are large data packet transmission, high data rate, and high spectrum efficiency. The mMTC scenario is used to support mass device communication. The main service requirements are mass equipment and small data packet transmission. The International Telecommunications Union (ITU) and the 3rd Generation Partnership Project (3GPP) have designed a target for the 5G mMTC scenario to support a connection density of 1 million devices per square kilometer; the URLLC scenario is used to support Highly reliable and low latency communication, the main business requirement is high reliability and low latency transmission.

For the mMTC scenario massive equipment, small packet transmission requirements, and the high reliability and low latency transmission requirements of the URLLC scenario, the traditional communication process design based on terminal random access and base station scheduling control cannot be satisfied. The main reason is that the system is connected. The capacity of the incoming device is limited, the access and data transmission process takes a long time, and the signaling overhead is large.

At present, the 3GPP organization is studying to evaluate new radio access technology (NR or New RAT) that meets 5G requirements. The transmission technology based on non-scheduled, non-orthogonal multiple access NOMA is mMTC, URLLC, eMBB, etc. The popular candidate technology solution for the scenario, and 3GPP agreed at the RAN#75 meeting in March 2017 to conduct non-orthogonal multiple access NOMA as a topic for research.

However, at present, NR has not determined its adopted unscheduled transmission technology scheme and non-orthogonal multiple access technology scheme, for example, whether to implement code-free or sequence-based implementation of non-scheduled transmission and non-orthogonal multiple access, specific code Or how the sequence is designed, etc.

Regarding the above technical problems in the related art, an effective solution has not been found.

Summary of the invention

The embodiments of the present application provide a method and an apparatus for generating data to at least solve the problem of designing a code or a sequence in the related art.

According to an embodiment of the present application, there is provided a method for generating data, comprising: acquiring a third sequence according to a first sequence and a second sequence, or acquiring the third sequence from a first sequence set; using the The third sequence processes the first data to generate second data; wherein the second sequence is processed by processing the fourth sequence, or the second sequence is obtained by processing the second sequence set Obtained in the third sequence set, or the second sequence is obtained from a preset sequence set; wherein the first sequence set is obtained according to the second sequence set and the third sequence set, Alternatively, the first sequence set is a preset first sequence set.

According to another embodiment of the present application, there is provided an apparatus for generating data, comprising: an obtaining module, configured to acquire a third sequence according to a first sequence and a second sequence, or obtain the first sequence from a first sequence set a third sequence; a processing module, configured to process the first data by using the third sequence to generate second data; wherein the second sequence is processed by processing the fourth sequence, or the second sequence is Obtained from a third sequence set obtained by processing the second sequence set, or the second sequence is obtained from a preset sequence set; wherein the first sequence set is according to the second sequence And the set of the third sequence is obtained, or the first sequence set is a preset first sequence set.

According to still another embodiment of the present application, a storage medium is also provided. The storage medium is arranged to store program code for performing the following steps:

Obtaining a third sequence according to the first sequence and the second sequence, or acquiring the third sequence from the first sequence set;

Processing the first data by using the third sequence to generate second data;

The second sequence is obtained by processing the fourth sequence, or the second sequence is obtained from a third sequence set obtained by processing the second sequence set, or the second sequence is obtained. Is obtained from a preset sequence set;

The first sequence set is obtained according to the second sequence set and the third sequence set, or the first sequence set is a preset first sequence set.

Through the embodiment of the present application, since the third sequence used may be acquired according to the first sequence and the second sequence, or may be obtained from the first sequence set obtained according to the second sequence set and the third sequence set, where the second The sequence set may be a set of Hada code sequences, which may solve the design problem of the code or sequence in the related art; at the same time, any two different sequences obtained or used in the embodiment of the present application are orthogonal or low cross-correlation, and the first sequence set Any two sequences are orthogonal or low cross-correlated, so that the embodiment of the present application can obtain good performance by using the obtained sequence. In addition, the embodiment of the present application has lower sequence storage requirements and lower computational complexity; The embodiments of the present application can be used to implement non-scheduled transmission and non-orthogonal multiple access with good performance and efficiency.

BRIEF abstract

1 is a flow chart of a method of generating data according to an embodiment of the present application;

2 is a structural block diagram of an apparatus for generating data according to an embodiment of the present application;

3 is a flow chart of generating data according to an embodiment of the present application;

4 is a flow chart of generating data according to another embodiment of the present application;

FIG. 5 is a flow chart of generating data according to still another embodiment of the present application.

Detailed ways

It should be noted that the terms "first", "second" and the like in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or order.

In order to meet the needs of 5G communication technology and similar requirements of future communication technologies, Applicants have found that a scheduling-free transmission method can be considered. When the terminal device needs to send data, data transmission can be performed, thereby eliminating a long and complicated random access process and scheduling control process, thereby greatly reducing transmission delay and signaling overhead.

In order to improve the utilization efficiency of transmission resources, multiple users can also share the same transmission resources (such as time-frequency resource blocks), perform non-orthogonal multiplexing, and implement non-orthogonal multiple access (Non-Orthogonal Multiple Access). NOMA). Non-orthogonal access by multiple users is equivalent to the collision of transmission resources used by these users. In order to ensure the performance of multi-user non-orthogonal multiplexing transmission, advanced receivers such as interference cancellation receivers are required.

For example, multi-user unscheduled transmissions as well as non-orthogonal access based on codes or sequences can be considered. For example, if multiple users use a low cross-correlation spreading code or spreading sequence to spread the data to be transmitted and then transmit on the same transmission resource, then the detection performance of these users can be guaranteed by the low cross-correlation spreading code. However, the user data needs to occupy more resources after being extended by the sequence. For example, the extension sequence length is L. In order to accommodate the extended information, the transmission resource needs to be L times larger. If a low cross-correlation spreading code is used, and a K*L times user can be transmitted on the same transmission resource as compared with the non-extended method, it can be considered that a K-fold user overload rate can be obtained by using a low cross-correlation spreading code. That is to say, the use of low cross-correlation spread codes has the potential to double the system spectrum efficiency.

Therefore, multi-user unscheduled transmission and non-orthogonal access based on code or sequence are beneficial to ensure multi-user detection performance, and can improve system spectral efficiency while achieving low latency access. Among them, the design of the code or sequence is very important. For example, a certain number of codes or sequences with lower cross-correlation are beneficial to ensure the performance of the unscheduled transmission and the non-orthogonal access, which is beneficial to the control system complexity, so that it can be realized. Efficient, schedule-free transmission and non-orthogonal access.

Example 1

In the embodiment, a method for generating data is provided. FIG. 1 is a flowchart of a method for generating data according to an embodiment of the present application. As shown in FIG. 1, the process includes the following steps S102 and S104.

In step S102, the third sequence is acquired according to the first sequence and the second sequence, or the third sequence is obtained from the first sequence set.

In step S104, the first data is processed using the third sequence to generate second data.

The second sequence is obtained by processing the fourth sequence, or the second sequence is obtained from the third sequence set obtained by processing the second sequence set, or the second sequence is from the preset sequence set. The first sequence set is obtained according to the second sequence set and the third sequence set, or the first sequence set is a preset first sequence set.

Through the above steps, since the third sequence used may be acquired according to the first sequence and the second sequence, or may be obtained from a first sequence set obtained according to the second sequence set and the third sequence set, wherein the second sequence set The Hada code sequence set may be used to solve the design problem of the code or sequence in the related art. At the same time, any two different sequences obtained or used in the embodiment of the present application are orthogonal or low cross-correlation, and any two of the first sequence sets. The stripe sequence is orthogonal or low cross-correlated, so that the embodiment of the present application can obtain good performance by using the obtained sequence. In addition, the embodiment of the present application has lower sequence storage requirements and lower computational complexity; Application embodiments can be used to implement schedule-free transmission with good performance and efficiency as well as non-orthogonal multiple access.

In an embodiment, the execution body of the foregoing steps may be a transmitter, a receiver, a base station, a terminal, etc., but is not limited thereto.

In an embodiment, the first sequence is one of: a Hadamard sequence of length L; a vector of length L obtained from a Hadamard code matrix in a specified manner; from a set of Hada code sequences in a specified manner A sequence of length L obtained; a sequence of length L obtained according to a Hadamard code sequence generation method; a Walsh sequence of length L; a length L obtained from a Walsh sequence set according to a specified manner a sequence of length L obtained according to the Walsh sequence generation method; wherein the specified manner includes: a method of randomly selecting, a method according to system configuration information, or a method according to a system preset rule; wherein, a Hadam code matrix Containing L vectors of length L, the set of Hada code sequences comprises L sequences of length L, and the set of Walsh sequences comprises L sequences of length L; wherein L is an integer greater than one.

In an embodiment, the fourth sequence is one of: a Hada code sequence of length L; a vector of length L obtained from a Hadamard code matrix in a specified manner; a length obtained from a set of Hada code sequences in a specified manner a sequence of L; a sequence of length L obtained according to a Hadamard code sequence generation method; a Walsh sequence of length L; a sequence of length L obtained from a Walsh sequence set in a specified manner; according to Walsh A sequence of length L obtained by the sequence generation method, where the specified manner includes: a method of randomly selecting, a method according to system configuration information, or a method according to a preset rule of the system; wherein the Hada code matrix includes L lengths of L The vector, the Hada code sequence set contains L length L sequences, and the Walsh sequence set contains L sequences of length L; wherein L is an integer greater than one.

In an embodiment, the fourth sequence is processed to obtain a second sequence, comprising one of: processing the first specified element of the fourth sequence to generate a fifth sequence, and then processing the second specified element of the fifth sequence Obtaining a second sequence; processing the third designated element of the fourth sequence to obtain a second sequence.

Wherein the first specified element of the fourth sequence is processed, including one of: converting the first specified element of the fourth sequence to 1i, -1i, 1 or a first specified value; the first designation of the fourth sequence Multiplying the element by 1i, -1i or a second specified value; adjusting or rotating the phase of a*π by the first specified element of the fourth sequence, or multiplying by exp(i*a*π); wherein, the first designation The elements include: an element with an element value of -1, or an element whose element value is not 1, or an element indicated by a system preset index, or an element determined according to a system preset rule; wherein a is a real number, exp (.) is an exponential operation based on a natural constant, i is an imaginary unit and i=sqrt(-1), and sqrt() is a square root operation.

In an embodiment, the second specified element of the fifth sequence is processed, including one of: multiplying the second specified element of the fifth sequence by -1 or a third specified value; the second designation of the fifth sequence The element performs phase adjustment or rotation of b*π, or multiplies exp(i*b*π); converts the second specified element of the fifth sequence into a fourth specified value; determines the fourth specified element according to the fifth sequence a value of the specified element; wherein the second specified element includes: an element indicated by a system preset index, or an element determined according to a system preset rule; the fourth specified element includes: an element indicated by a system preset index, or The element determined according to the system preset rule; b is a real number, exp(.) is an exponential operation with a natural constant as the base, i is an imaginary unit and i=sqrt(-1).

In an embodiment, the value of the second specified element is determined according to the fourth specified element of the fifth sequence, including one of the following: the product of the third power of all the elements included in the fourth designated element of the fifth sequence is taken as the first The value of the specified element; the product of the square of the element included in the fourth designated element of the fifth sequence and the fifth specified value is taken as the value of the second specified element.

In an embodiment, the third specified element of the fourth sequence is processed, including one of: phase adjustment or rotation of c*π performed by the third designated element of the fourth sequence, or multiplied by exp(i*) c*π); multiplying a third specified element of the fourth sequence by a fifth specified element of the fourth sequence; multiplying a third specified element of the fourth sequence by a sixth specified value; wherein the third designated element comprises: an element An element whose value is not 1, or an element indicated by a system preset index, or an element determined according to a system preset rule; the fifth specified element includes: an element indicated by a system preset index, or, according to a system preset The element determined by the rule; c is a real number, exp(.) is an exponential operation with a natural constant as the base, i is an imaginary unit and i=sqrt(-1).

In an embodiment, the second sequence set comprises one of: a Hada code matrix comprising L vectors of length L; a set of Hada code sequences comprising L sequences of length L; comprising L sequences of length L a set of Walsh sequences; where L is an integer greater than one.

In an embodiment, the third sequence set obtained by processing the second sequence set includes one of: processing a sixth specified element of each sequence in the second sequence set to generate a fourth sequence set, and then The seventh specified element of each sequence in the four sequence set is processed to obtain a third sequence set; and the eighth specified element of each sequence in the second sequence set is processed to obtain a third sequence set.

In an embodiment, the sixth specified element of each sequence in the second sequence set is processed, including one of: converting the sixth specified element of each sequence in the second sequence set to 1i, -1i, 1 Or a seventh specified value; multiplying a sixth specified element of each sequence in the second sequence set by 1i, -1i, or an eighth specified value; d* of the sixth designated element of each sequence in the second sequence set The phase adjustment or rotation of π, or multiplied by exp(i*d*π); wherein the sixth specified element includes: an element whose element value is -1, or an element whose element value is not 1, or Set the element indicated by the index, or the element determined according to the system preset rule; d is a real number, exp(.) is an exponential operation with a natural constant as the base, i is an imaginary unit and i=sqrt(-1).

In an embodiment, the seventh designated element of each sequence in the fourth set of sequences is processed, comprising one of: multiplying a seventh specified element of each sequence in the fourth set of sequences by -1 or a ninth designation a value; adjusting or rotating the seventh specified element of each sequence in the fourth sequence set by e*π, or multiplying exp(i*e*π); seventh of each sequence in the fourth sequence set The specified element is transformed into a tenth specified value; the value of the seventh designated element of the corresponding sequence in the fourth sequence set is determined according to the ninth specified element of each sequence in the fourth sequence set; wherein the seventh specified element includes: The element indicated by the index, or the element determined according to the system preset rule; the ninth specified element includes: an element indicated by a system preset index, or an element determined according to a system preset rule; e is a real number, exp(. ) is an exponential operation based on a natural constant, i is an imaginary unit and i=sqrt(-1).

In an embodiment, the value of the seventh designated element of the corresponding sequence in the fourth sequence set is determined according to the ninth specified element of each sequence in the fourth sequence set, including one of the following: each sequence in the fourth sequence set The product of the third power of all the elements included in the ninth specified element as the value of the seventh specified element of the corresponding sequence in the fourth sequence set; the element included in the ninth specified element of each sequence in the fourth sequence set The product of the square of the eleventh specified value is the value of the seventh designated element of the corresponding sequence in the fourth sequence set.

In an embodiment, the eighth specified element of each sequence in the second set of sequences is processed, including one of: phase adjustment of f*π performed by the eighth designated element of each sequence in the second set of sequences Or rotating, or multiplying exp(i*f*π); multiplying the eighth specified element of each sequence in the second sequence set by the tenth specified element of the corresponding sequence in the second sequence set; The eighth specified element of each sequence is multiplied by a twelfth specified value; wherein the eighth specified element includes: an element whose element value is not 1, or an element indicated by a system preset index, or according to a system preset rule The determined element; the tenth specified element includes: an element indicated by a system preset index, or an element determined according to a system preset rule; f is a real number, exp(.) is an exponential operation based on a natural constant, i is The imaginary unit and i=sqrt(-1).

In an embodiment, the second sequence is obtained from the third sequence set obtained by processing the second sequence set, and includes one of the following manners: acquiring the second sequence from the third sequence set by using a random selection manner; Or acquiring the second sequence from the third sequence set according to the system configuration information; or acquiring the second sequence from the third sequence set according to the system preset rule.

In an embodiment, the preset sequence set is the same set of sequences as the third sequence set.

In an embodiment, the second sequence is obtained from the preset sequence set, and includes one of the following methods: acquiring the second sequence from the preset sequence set by using a random selection manner; and collecting the preset sequence according to the system configuration information. Obtaining a second sequence; and acquiring a second sequence from the preset sequence set according to a system preset rule.

In an embodiment, acquiring the third sequence according to the first sequence and the second sequence comprises: performing a point multiplication process on the first sequence and the second sequence to obtain a third sequence.

In an embodiment, the first sequence set is obtained according to the second sequence set and the third sequence set, including one of: sequentially, each sequence in the second sequence set is sequentially multiplied with each sequence in the third sequence set. All the sequences obtained by the operation constitute a first sequence set; all the sequence sets obtained by multiplying the matrix obtained by diagonalizing each sequence in the third sequence set and the matrix formed by the second sequence set constitute a first sequence set.

In an embodiment, the preset first sequence set is the same as the sequence set obtained according to the second sequence set and the third sequence set;

In an embodiment, the third sequence is obtained from the first sequence set, including one of: obtaining a third sequence from the first sequence set by using a random selection manner; and obtaining the first sequence from the first sequence set according to system configuration information. a third sequence; and, obtaining a third sequence from the first sequence set according to a system preset rule.

In an embodiment, the first data is processed by using the third sequence to generate the second data, including one of: performing the specified processing on the first data by using the third sequence to generate the second data; wherein the specifying processing may be, but is not limited to, It is: extended processing, mapping processing, modulation processing, despreading processing, demapping processing, demodulation processing, and system preset processing.

In an embodiment, the method of the embodiment of the present application may further include step S106 after step S104.

In step S106, the second data is mapped onto a designated transmission resource for forming a transmission signal and transmitting.

In an embodiment, the designated transmission resources may be randomly selected, system preset, or system configured. In an embodiment, the transmission resource includes at least one of a carrier, a time slot, a time-frequency resource, a spatial domain resource, a code domain resource, a frequency hopping mode, and an antenna port, where the transmission resource may be a resource unit, a resource block, a resource set, And the definition or form of the resource pattern.

Through the description of the above embodiments, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, by hardware, but in many cases, the former is A better implementation. Based on such understanding, the technical solution of the present application, which is essential or contributes to the prior art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM, disk, The optical disc includes a number of instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the methods described in various embodiments of the present application.

Example 2

In the embodiment, a device for generating data is provided, and the device is used to implement the foregoing embodiments, and details are not described herein. As used hereinafter, the term "module" may implement a combination of at least one of software and hardware for a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, hardware, or a combination of software and hardware, is also possible and contemplated.

FIG. 2 is a structural block diagram of an apparatus for generating data according to an embodiment of the present application. As shown in FIG. 2, the apparatus includes:

The obtaining module 20 is configured to acquire the third sequence according to the first sequence and the second sequence, or obtain the third sequence from the first sequence set.

The processing module 22 is configured to process the first data using the third sequence to generate second data.

The second sequence is obtained by processing the fourth sequence, or the second sequence is obtained from a third sequence set obtained by processing the second sequence set, or the second sequence is obtained. Obtaining from the preset sequence set; the first sequence set is obtained according to the second sequence set and the third sequence set, or the first sequence set is a preset first sequence set .

It should be noted that each of the above modules may be implemented by software or hardware. For the latter, the foregoing may be implemented by, but not limited to, the foregoing modules are all located in the same processor; or, the above modules are in any combination. The forms are located in different processors.

Example 3

This embodiment is used to explain the solution of the present application:

The data generating method of this embodiment can be applied to at least one of a transmitter and a receiver, and can be applied to at least one of a terminal device and a base station device.

Both i and j in this embodiment can be regarded as imaginary units, equal to sqrt(-1), and both can represent the same meaning. In the description of the present application, there may be different situations such as 1i, 1j, i, j, etc., which can be considered equivalent. Where sqrt(.) represents the square root operation.

In the present application and the embodiment, for example, the sequence length L is n to the power of n, and n is a natural number; of course, the sequence length L may be other values, for example, L is 3, 6, or 12 or the like.

The sequences or sequence sets given in the present application and embodiments may be energy normalized such that the energy of each sequence element is 1, or the total energy of each sequence is 1, or the total energy of each sequence is equal to the sequence length. L.

The sequences or sequence sets given in the present application and the embodiments are not unique. Other similar sequences or sequence sets may be obtained based on the description in the present application and the embodiments, and the present application and the embodiments are not described one by one.

The indexes or sequences of the sequences included in the sequence set given by the present application and the embodiments are not fixed or unique, and may be other indexes or sequences.

The embodiment of the application further includes the following application examples:

Application example 1

This application example provides a method of generating data, as shown in FIG. 3, which is a flow chart for generating data according to an embodiment of the present application.

In this application example, the sequence set A may be a set of Hada code sequences including four sequences of length L=4, and four sequences of length 4 in the sequence set may form a fourth-order Hadamard code matrix, as shown in Table 1. .

Table 1

The sequence s1 is obtained from the sequence set A (which may be the first sequence in the embodiment 1), for example, obtained by randomly selecting, acquired according to system pre-configuration information, acquired according to system signaling indication, or acquired according to system preset rules. Wait. It is assumed here that the index of the acquired sequence s1 is 0, then the sequence s1 is [1, 1, 1, 1].

Obtaining the sequence s2 from the sequence set A (which may be the fourth sequence in Embodiment 1), for example, obtained by random selection, acquired according to system pre-configuration information, acquired according to system signaling indication, or acquired according to system preset rules. Wait. It is assumed here that the index of the acquired sequence s2 is 1, then the sequence s2 is [1, -1, 1, -1].

The specified element in the sequence s2 is processed, for example, the element-1 in the sequence s2 is transformed into the specified value v, and the sequence s3 is obtained (which can be used as the fifth sequence in the embodiment 1). Here, assuming v = 1i, the sequence s3 is [1, 1i, 1, 1i]; here, the element -1 in the sequence s2 can also be multiplied by -1i to obtain the sequence s3.

Processing the specified element in sequence s3, for example, transforming the specified element e _x in sequence s3 to -e _x (or multiplying by -1, or negating) to obtain sequence s4 (which may be used as the second in embodiment 1) sequence). The index of the specified element is shown in Table 2, where [] represents an empty set. Since the sequence s3 is obtained according to s2, and the index of the sequence s2 is 1, then the index of the specified element can be obtained according to Table 2, that is, the element e ₃ whose index is 3 in the sequence s3 is transformed into -e ₃ , then the sequence S4 is [1, 1i, 1, -1i].

Table 2

序列s2的索引Index of sequence s2	指定元素的索引The index of the specified element
00	[][]
11	33
22	33
33	33

Then, the sequence s is obtained according to the sequence s1 and the sequence s4, for example, the sequence s1 is multiplied by the sequence s4 to obtain a sequence s (which can be used as the third sequence in the embodiment 1), then the sequence s is [1, 1i, 1 , -1i].

In this application example, the sequence set A may also be a set of Hada code sequences including 8 sequences of length L=8, and 8 sequences of length 8 in the sequence set may constitute an 8th order Hada code matrix, as shown in Table 3. Show.

table 3

The sequence s1 is obtained from the sequence set A, for example, obtained by random selection, acquired according to system pre-configuration information, acquired according to system signaling indication, or acquired according to system preset rules. It is assumed here that the index of the acquired sequence s1 is 0, then the sequence s1 is [1, 1, 1, 1, 1, 1, 1, 1].

The sequence s2 is obtained from the sequence set A, for example, obtained by random selection, acquired according to system pre-configuration information, acquired according to system signaling indication, or acquired according to system preset rules. It is assumed here that the index of the acquired sequence s2 is 1, then the sequence s2 is [1, -1, 1, -1, 1, -1, 1, -1].

The specified element in sequence s2 is processed, for example, element -1 in sequence s2 is transformed to a specified value v, resulting in sequence s3. Here, assuming v = 1i, the sequence s3 is [1, 1i, 1, 1i, 1, 1i, 1, 1i]. Here, the element -1 in the sequence s2 can also be multiplied by -1i to obtain the sequence s3.

The specified element in sequence s3 is processed, for example, by converting the specified element e _x in sequence s3 to -e _x (or multiplying by -1, or negating) to obtain sequence s4. The index of the specified element is shown in Table 4. Since the sequence s3 is obtained according to s2, and the index of the sequence s2 is 1, then the index of the specified element can be obtained according to Table 2, including 3, 5, 6, and 7, that is, the index of the sequence s3 is 3, 5, 6, and 7. The elements e ₃ , e ₅ , e ₆ , and e ₇ are respectively converted to -e ₃ , -e ₅ , -e ₆ , and -e ₇ , then the sequence s4 is [1, 1i, 1, -1i, 1, -1i , -1, -1i].

Table 4

序列s2的索引Index of sequence s2	指定元素的索引The index of the specified element
00	[][]
11	3，5，6，73,5,6,7
22	2，5，6，72,5,6,7
33	1，2，3，51,2,3,5
44	3，4，5，63,4,5,6
55	1，3，4，71,3,4,7
66	2，3，4，62,3,4,6
77	1，2，4，51,2,4,5

Then, the sequence s is obtained according to the sequence s1 and the sequence s4, for example, the sequence s1 is multiplied by the sequence s4 to obtain the sequence s, then the sequence s is [1, 1i, 1, -1i, 1, -1i, -1, -1i].

Then, the method of generating data provided by this application example processes the data (which can be used as the first data in Embodiment 1) using the sequence s, and generates processed data (which can be used as the second data in Embodiment 1).

In this application example, the sequence s1 and the sequence s2 are sequences obtained from the Hada code sequence set A, and both the sequence s1 and the sequence s2 can be regarded as Hada code sequences, and the two can also be obtained from the Hada code matrix, or Obtained according to the Hada code sequence generation method.

In this application example, the sequence set A can also be a Walsh sequence set, and the sequence s1 and the sequence s2 are sequences obtained from the Walsh sequence set A. In this case, both the sequence s1 and the sequence s2 can be regarded as Walsh. Sequences, both of which can also be obtained according to the Walsh sequence generation method.

In this application example, when the specified element in the sequence s3 is processed, the specified element can also be obtained according to the system preset rule. For example, the index of the specified element shown in Table 2 can be obtained according to the preset rule as follows: when the sequence element in the sequence s2 contains -1, the index of the specified element is 3; when the sequence element in the sequence s2 When there is no -1 or both, the index of the specified element is empty.

The method for generating data provided by the application example may be used to perform processing, mapping processing, modulation processing, or first preset processing of the data by using the sequence s when the transmitter or the terminal device is applied to generate the processed data. When applied to a receiver or a base station device, the data may be subjected to despreading processing, demapping processing, demodulation processing, or second preset processing of the system using the sequence s to generate processed data.

Application example 2

This application example provides a method of generating data, as shown in Figure 3.

In this application example, the sequence set A is a set of Hada code sequences including four sequences of length L=4, and four sequences of length 4 in the sequence set may constitute a fourth-order Hadamard code matrix, as shown in Table 5.

table 5

The sequence s1 is obtained from the sequence set A, for example, obtained by random selection, acquired according to system pre-configuration information, acquired according to system signaling indication, or acquired according to system preset rules. It is assumed here that the index of the acquired sequence s1 is 0, then the sequence s1 is [1, 1, 1, 1].

The sequence s2 is obtained from the sequence set A, for example, obtained by random selection, acquired according to system pre-configuration information, acquired according to system signaling indication, or acquired according to system preset rules. It is assumed here that the index of the acquired sequence s2 is 1, then the sequence s2 is [1, -1, 1, -1].

The specified element in sequence s2 is processed, for example, element -1 in sequence s2 is transformed to a specified value v, resulting in sequence s3. Here, assuming v = -1i, then the sequence s3 is [1, -1i, 1, -1i]; here, the element -1 in the sequence s2 can also be multiplied by 1i to obtain the sequence s3.

The specified element in sequence s3 is processed, for example, by converting the specified element e _x in sequence s3 to -e _x (or multiplying by -1, or negating) to obtain sequence s4. The index of the specified element is shown in Table 6, where [] represents an empty set. Since the sequence s3 is obtained according to s2, and the index of the sequence s2 is 1, then the index of the specified element is 1 according to Table 6, that is, the element e ₃ whose index is 1 in the sequence s3 is transformed into -e ₃ , then the sequence S4 is [1, 1i, 1, -1i].

Table 6

序列s2的索引Index of sequence s2	指定元素的索引The index of the specified element
00	[][]
11	11
22	22
33	1，2，31,2,3

Then, the sequence s is obtained from the sequence s1 and the sequence s4, for example, by multiplying the sequence s1 by the sequence s4 to obtain the sequence s, then the sequence s is [1, 1i, 1, -1i].

In this application example, the sequence set A may also be a set of Hada code sequences including 8 sequences of length L=8, and 8 sequences of length 8 in the sequence set may constitute an 8th order Hada code matrix, as shown in Table 7. Show.

Table 7

The specified element in sequence s2 is processed, for example, element -1 in sequence s2 is transformed to a specified value v, resulting in sequence s3. Here, assuming v = -1i, then the sequence s3 is [1, -1i, 1, -1i, 1, -1i, 1, -1i]. Here, the element -1 in the sequence s2 can also be multiplied by 1i to obtain the sequence s3.

The specified element in sequence s3 is processed, for example, by converting the specified element e _x in sequence s3 to -e _x (or multiplying by -1, or negating) to obtain sequence s4. The index of the specified element is shown in Table 8. Since the sequence s3 is obtained according to s2, and the index of the sequence s2 is 1, then the index of the specified element can be obtained according to Table 8, including 1, 6, that is, the elements e ₁ and e ₆ whose indexes are 1, 6 in the sequence s3 are respectively transformed. For -e ₁ , -e ₆ , then the sequence s4 is [1, 1i, 1, -1i, 1, -1i, -1, -1i].

Table 8

序列s2的索引Index of sequence s2	指定元素的索引The index of the specified element
00	[][]
11	1，61,6
22	3，53,5
33	3，63,6
44	3，73,7
55	6，76,7
66	5，65,6
77	5，75,7

Then, the method of generating data provided by this application example processes the data using the sequence s to generate processed data.

Application example 3

This application example provides a method of generating data, as shown in FIG. 4, which is a flowchart of generating data according to another embodiment of the present application.

In this application example, the sequence set A is a set of Hada code sequences including four sequences of length L=4, and four sequences of length 4 in the sequence set can form a fourth-order Hadamard code matrix, as shown in Table 9 ( The sequence set A can be used as the second sequence set in Embodiment 1.

Table 9

The specified element in the sequence set A is processed, for example, the element-1 in the sequence set A is transformed into a specified value v to obtain a sequence set B. Here, assuming v=1i, then the sequence set B is as shown in Table 10. Here, the element-1 in the sequence set A can also be multiplied by -1i to obtain the sequence set B (the sequence set B can be used as the fourth sequence set in the embodiment 1).

Table 10

The specified elements in the sequence set B are processed, for example, the specified element B _{x, y} in the sequence set B is transformed into -B _{x, y} (or multiplied by -1, or inverted) to obtain a sequence set C. The index of the specified element is as shown in Table 11, where x is a sequence index and y is a sequence element index.

Table 11

Then, the obtained sequence set C is as shown in Table 12 (sequence set C can be used as the third sequence set in Embodiment 1).

Table 12

In this application example, the sequence set A may also be a sequence set containing 8 sequences of length L=8, and 8 sequences of length 8 in the sequence set may constitute an 8th order Hada code matrix, as shown in Table 13.

Table 13

The specified element in the sequence set A is processed, for example, the element-1 in the sequence set A is transformed into a specified value v to obtain a sequence set B. Assuming that v = 1i, then the sequence set B is as shown in Table 14. Here, it is also possible to multiply the element-1 in the sequence set A by -1i to obtain the sequence set B.

Table 14

The specified elements in the sequence set B are processed, for example, the specified element B _{x, y} in the sequence set B is transformed into -B _{x, y} (or multiplied by -1, or inverted) to obtain a sequence set C. Wherein, the index of the specified element is as shown in Table 15, where x is a sequence index and y is a specified element index in the sequence.

Table 15

Then, the obtained sequence set C is as shown in Table 16.

Table 16

Then, the application example obtains the sequence set D according to the sequence set A and the sequence set C as the set of sequences to be acquired, for example:

Having each sequence in the sequence set A sequentially multiplied by each sequence in the sequence set C to form a sequence set D;

Alternatively, a matrix obtained by diagonalizing each sequence in the sequence set C is multiplied by a matrix formed by the sequence set A to obtain L sequence sets, and the L sequence sets are combined to obtain a sequence set D.

Then, the method for generating data provided by this application example obtains the used sequence s from the sequence set D, which can be obtained by randomly selecting, acquired according to system pre-configuration information, acquired according to system signaling indication, or according to system preset rules. Acquisition etc. (sequence set D can be used as the first sequence set in embodiment 1, and sequence s can be used as the third sequence in embodiment 1.)

The method then processes the data using the acquired sequence s to generate processed data.

In this application example, the acquired sequence set D can also be directly used as a system preset sequence set (which can be used as a preset first sequence set in Embodiment 1). Then, the method for generating data provided by the application example can directly obtain the used sequence s from the preset sequence set, and process the data using the acquired sequence s to generate processed data.

In this application example, the sequence set A can also be a Walsh sequence set.

In this application example, when the specified element in the sequence set B is processed, the specified element can also be obtained according to the system preset rule. For example, the index of the specified element shown in Table 11 can be obtained according to the preset rule as follows: when a sequence in the sequence set A contains the element-1, the index of the specified element corresponding to the sequence is 3 When a sequence in sequence set A does not contain element -1 or all elements are 1, the index of the specified element corresponding to this sequence is empty.

The method for generating data provided by the application example, when applied to a transmitter or a terminal device, may use a sequence s to perform data expansion processing, mapping processing, modulation processing, or system first preset processing to generate processed data; When applied to a receiver or a base station device, the data may be despreaded, demapped, demodulated, or second preset by the system using the sequence s to generate processed data.

Application example 4

This application example provides a method of generating data, as shown in FIG.

In this application example, the sequence set A is a set of Hada code sequences including four sequences of length L=4, and four sequences of length 4 in the sequence set may constitute a fourth-order Hadamard code matrix, as shown in Table 17.

Table 17

The specified element in the sequence set A is processed, for example, the element-1 in the sequence set A is transformed into a specified value v to obtain a sequence set B. Here, assuming v = -1i, then the sequence set B is as shown in Table 18. Here, it is also possible to multiply the element-1 in the sequence set A by 1i to obtain the sequence set B.

Table 18

The specified elements in the sequence set B are processed, for example, the specified element B _{x, y} in the sequence set B is transformed into -B _{x, y} (or multiplied by -1, or inverted) to obtain a sequence set C. The index of the specified element is as shown in Table 19, where x is the sequence index and y is the specified element index in the sequence.

Table 19

Then, the obtained sequence set C is as shown in Table 20.

Table 20

In this application example, the sequence set A may also be a sequence set containing 8 sequences of length L=8, and 8 sequences of length 8 in the sequence set may constitute an 8th order Hada code matrix, as shown in Table 21.

Table 21

The specified element in the sequence set A is processed, for example, the element-1 in the sequence set A is transformed into a specified value v to obtain a sequence set B. Here, assuming v = -1i, then the sequence set B is as shown in Table 22. Here, it is also possible to multiply the element-1 in the sequence set A by 1i to obtain the sequence set B.

Table 22

The specified elements in the sequence set B are processed, for example, the specified element B _{x, y} in the sequence set B is transformed into -B _{x, y} (or multiplied by -1, or inverted) to obtain a sequence set C. The index of the specified element is as shown in Table 23, where x is the sequence index and y is the index of the specified element in the sequence.

Table 23

Then, the obtained sequence set C is as shown in Table 24.

Table 24

Then, the method for generating data provided by this application example obtains the used sequence s from the sequence set D, which can be obtained by randomly selecting, acquired according to system pre-configuration information, acquired according to system signaling indication, or according to system preset rules. Get and so on.

In this application example, the acquired sequence set D can also be directly used as a sequence set preset by the system. Then, the method for generating data provided by this application example can directly obtain the used sequence s from the preset sequence set, and The data is processed using the acquired sequence s to generate processed data.

Application example 5

This application example provides a method of generating data, as shown in FIG. 5, which is a flowchart of generating data according to still another embodiment of the present application.

In this application example, the sequence set A is a set of Hada code sequences including four sequences of length L=4, and four sequences of length 4 in the sequence set may constitute a fourth-order Hadamard code matrix, as shown in Table 25 ( The sequence set A can be used as the second sequence set in Embodiment 1.

Table 25

The specified element in the sequence set A is processed, for example, the element-1 in the sequence set A is transformed into a specified value v to obtain a sequence set B. Assuming that v = 1i, then the sequence set B is as shown in Table 26. Here, the element-1 in the sequence set A can also be multiplied by -1i to obtain the sequence set B (the sequence set B can be used as the fourth sequence set in the embodiment 1).

Table 26

The specified elements in the sequence set B are processed, for example, the specified element B _{x, y} in the sequence set B is transformed into -B _{x, y} (or multiplied by -1, or inverted) to obtain a sequence set C. The index of the specified element is shown in Table 27, where x is the sequence index and y is the specified element index in the sequence.

Table 27

Then, the obtained sequence set C is as shown in Table 28 (sequence set C can be used as the third sequence set in Embodiment 1).

Table 28

The method of generating data provided by this application example obtains the sequence s1 from the sequence set A. It is assumed here that the index of the acquired sequence s1 is 0, then the sequence s1 is [1, 1, 1, 1] (sequence s1 can be used as the first sequence in Embodiment 1).

The method also obtains sequence s2 from sequence set C. It is assumed here that the index of the acquired sequence s2 is 1, then the sequence s2 is [1, 1i, 1, -1i] (sequence s2 can be used as the second sequence in Embodiment 1).

Then, the method of generating data provided by this application example acquires the sequence s according to the sequence s1 and the sequence s2. For example, the sequence s is obtained by dot-multiplying the sequence s1 and the sequence s2, and then the sequence s is [1, 1i, 1, -1i] (the sequence s can be used as the third sequence in the embodiment 1). Then, the method of generating data provided by this application example uses the sequence s to process the data to obtain processed data.

In this application example, the acquired sequence set C can also be directly used as a system preset sequence set (which can be used as the preset sequence set in Embodiment 1). Then, the method for generating data provided by the application example can directly obtain the sequence s2 from the preset sequence set, and obtain the sequence s according to the sequence s1 and the sequence s2, and then process the data using the obtained sequence s, and generate and process the data. After the data.

Application example 6

This application example provides a method of generating data, and the flow chart is similar to FIG.

In this application example, the sequence set A is a set of Hada code sequences including four sequences of length L=4, and four sequences of length 4 in the sequence set may constitute a fourth-order Hadamard code matrix, as shown in Table 29.

Table 29

The method of generating data provided by this application example obtains the sequence s1 from the sequence set A. It is assumed here that the index of the acquired sequence s1 is 0, then the sequence s1 is [1, 1, 1, 1].

The method also obtains the sequence s2 from the sequence set A; here, assuming that the index of the acquired sequence s2 is 1, then the sequence s2 is [1, -1, 1, -1].

The specified element in the sequence s2 is processed, and the element-1 in the sequence s2 is transformed into 1i or multiplied by -1i to obtain the sequence s3, then the sequence s3 is [1, 1i, 1, 1i]; the sequence s3 is four The indices of the elements are 0, 1, 2, and 3, respectively.

The specified element in sequence s3 is processed. For example, an element with an index of 1 and an element with an index of 2 in the sequence s3 processes the element whose index is 3: an element with an index of 3 is equal to the third power of the element with index 1 and the element with index 2. The product of the 3rd power, so that the sequence s4 can be obtained; then, the sequence s4 is [1, 1i, 1, -1i].

Then, the sequence s is obtained according to the sequence s1 and the sequence s4, for example, the sequence s1 and the sequence s4 are subjected to dot multiplication to obtain the sequence s; then, the sequence s is [1, 1i, 1, -1i].

Application example 7

This application example provides a method of generating data, and the flow chart is similar to FIG. 5.

In this application example, the sequence set A is a set of Hada code sequences including four sequences of length L=4, and four sequences of length 4 in the sequence set may constitute a fourth-order Hadamard code matrix, as shown in Table 30.

Table 30

The specified elements in the sequence set A are processed, for example, the element-1 in the sequence set A is transformed into 1i or multiplied by -1i to obtain a sequence set B; then, the sequence set B is as shown in Table 31.

Table 31

Processes the specified elements in sequence set B. For example, an element with an index of 1 for each sequence in the sequence set B and an element with an index of 2 process the element whose index is 3: an element with an index of 3 is equal to the third power of the element with index 1. The product of the 3th power of the element with index 2, so that the sequence set C can be obtained. Then, the obtained sequence set C is as shown in Table 32.

Table 32

The method also obtains sequence s2 from sequence set C. It is assumed here that the index of the acquired sequence s2 is 1, then the sequence s2 is [1, 1i, 1, -1i].

Then, the method of generating data provided by this application example acquires the sequence s according to the sequence s1 and the sequence s2. For example, the sequence s is obtained by dot-multiplying the sequence s1 and the sequence s2, and then the sequence s is [1, 1i, 1, -1i].

Then, the method of generating data provided by this application example uses the sequence s to process the data to obtain processed data.

Application example 8

In this application example, the sequence set A is a set of complex Hada code sequences including three sequences of length L=3, and three sequences of length 3 in the sequence set may constitute a third-order complex Hadamard code matrix, as shown in Table 33. Show.

Table 33

The specified elements in the sequence set A are processed, for example, the non-1 elements in the sequence set A are transformed into 1 to obtain the sequence set B; then, the sequence set B is as shown in Table 34.

Table 34

Processing the specified element in the sequence set B, for example, multiplying the specified element in the sequence set B by a specified value to obtain a sequence set C: multiplying the second element of the sequence 0 in the sequence set B by 1 (the operation may not Need), multiply the second element of sequence 1 in sequence set B by exp(i*2/3*π), multiply the second element of sequence 2 in sequence set B by exp(i*4/3* π); or, multiply the second element of sequence 0 in sequence set B by the 0th power of exp(i*2/3*π) (this operation may not be required), and the sequence 1 of sequence B Multiply two elements by the power of exp(i*2/3*π), and multiply the second element of sequence 2 in sequence set B by the power of exp(i*2/3*π); then The resulting sequence set C is shown in Table 35.

Table 35

The method of generating data provided by this application example obtains the sequence s1 from the sequence set A. It is assumed here that the index of the acquired sequence s1 is 0, then the sequence s1 is [1, 1, 1].

The method also obtains sequence s2 from sequence set C. It is assumed here that the index of the acquired sequence s2 is 1, then the sequence s2 is [1, 1, exp(i*2/3*π)].

Then, the method for generating data provided by this application example obtains the sequence s according to the sequence s1 and the sequence s2, for example, the point s1 and the sequence s2 are subjected to dot multiplication to obtain the sequence s, then the sequence s is [1, 1, exp(i *2/3*π)].

Application example 9

This application example provides a way to generate data. In this application example, the sequence set A is a set of complex Hada code sequences including three sequences of length L=3, and three sequences of length 3 in the sequence set may constitute a third-order complex Hadamard code matrix, as shown in Table 36. Show.

Table 36

The method also obtains sequence s2 from sequence set A. It is assumed here that the index of the acquired sequence s2 is 1, then the sequence s2 is [1, exp(i*2/3*π), exp(i*4/3*π)].

The specified element in the sequence s2 is processed, for example, by multiplying the non-1 element in the sequence s2 by the element with the index 2 in the sequence s2, to obtain the sequence s3: multiply the non-1 element in the sequence s2 by exp(i*4/ 3*π);

Alternatively, multiply the non-1 element in sequence s2 by the specified value to obtain sequence s3: multiply the non-1 element in sequence s2 by exp(i*4/3*π) or multiply exp(i*2/3*) π) (2* sequence s2 index = 2) power;

Then, the sequence s3 is [1, 1, exp(i*2/3*π)].

Then, the sequence s is obtained according to the sequence s1 and the sequence s3, for example, the sequence s1 is sequence-multiplied with the sequence s3 to obtain the sequence s; then, the sequence s is [1, 1, exp(i*2/3*π)] .

In this application example, when the specified element in the sequence s2 is processed to obtain the sequence s3, if the index of the sequence s2 is 0, since the elements in the sequence s2 are all 1 at this time, the sequence s3 is the same as the sequence s2; if the sequence s2 If the index is 2, the non-1 element in the sequence s2 is multiplied by exp(i*2/3*π) or multiplied by exp(i*2/3*π) (the index of the 2* sequence s2=4) On the power side, the sequence s3 is obtained.

In this application example, when the specified element in the sequence s2 is processed to obtain the sequence s3, the element with the index of 1 and the element with the index of 2 in the sequence s2 may be processed to obtain s3. For example, an element with an index of 1 in the sequence s2 and an element with an index of 2 are respectively multiplied by an element with an index of 2 in the sequence s2 to obtain a sequence s3; or, an element with an index of 1 and an element with an index of 2 in the sequence s2 Multiply the specified value to obtain the sequence s3. At this time: if the index of the sequence s2 is 0, the element with the index of 1 in the sequence s2 and the element with the index of 2 are multiplied by 1 or exp(i*2/3*π) respectively (the index of the 2* sequence s2 = 0) power; if the index of sequence s2 is 1, the element with index 1 in sequence s2 and the element with index 2 are multiplied by exp(i*4/3*π) or exp(i*2/3*, respectively). π) (index of 2* sequence s2 = 2) power; if the index of sequence s2 is 2, multiply the element with index 1 and the element with index 2 in sequence s2 by exp(i*2/3*) π) or exp(i*2/3*π) (2* sequence s2 index = 4) power.

Application example 10

In this application example, the sequence set A is a set of Hada code sequences including four sequences of length L=4, and four sequences of length 4 in the sequence set may constitute a fourth-order Hadamard code matrix, as shown in Table 37.

Table 37

The sequence s1 is obtained from the sequence set A. It is assumed here that the index of the acquired sequence s1 is 0, then the sequence s1 is [1, 1, 1, 1].

The sequence s2 is obtained from the sequence set A. It is assumed here that the index of the acquired sequence s2 is 1, then the sequence s2 is [1, -1, 1, -1].

Processing the specified element in the sequence s2, for example, transforming the element-1 in the sequence s2 to the specified value 1i (or multiplying by -1i) to obtain the sequence s3, then the sequence s3 is [1, 1i, 1, 1i] .

The specified element in the sequence s3 is processed; unlike the application example 1, the specified element of the specified element is not obtained by the index of the specified element and processed, but the sequence obtained in the sequence s3 and the table 38 is performed. The dot multiplication process yields the sequence s4. Since the index of the sequence s2 is 1, the sequence [1, 1, 1, 1, -1] can be obtained from the table 38, and the sequence s4 obtained by multiplying the sequence s3 by the sequence is [1, 1i, 1, -1i This operation is equivalent to multiplying the third element in the sequence s3 by -1, and the other elements remain unchanged, and the effect is the same as that of the application example 1.

Table 38

Then, the sequence s is obtained from the sequence s1 and the sequence s4, for example, the sequence s1 is multiplied by the sequence s4 to obtain the sequence s; then, the sequence s is [1, 1i, 1, -1i].

Application example 11

This application example provides a method of generating data, and its flow diagram is similar to FIG. 4 or FIG.

In this application example, the sequence set A is a set of Hada code sequences including four sequences of length L=4, and four sequences of length 4 in the sequence set may constitute a fourth-order Hadamard code matrix, as shown in Table 39.

Table 39

The specified elements in the sequence set A are processed, for example, the element-1 in the sequence set A is transformed to a specified value 1i (or multiplied by -1i) to obtain a sequence set B, as shown in Table 40.

Table 40

The specified element in the sequence set B is processed. Unlike the application example 3, the specified element of the specified element is not obtained by the index of the specified element and processed, but the sequence set B and the table 41 are shown. The sequence set is subjected to dot multiplication to obtain a sequence set C.

Table 41

Then, the obtained sequence set C is as shown in Table 42.

Table 42

Then, the application example obtains the sequence set D from the sequence set A and the sequence set C as the set of sequences that need to be acquired. For example, each sequence in the sequence set A is sequentially multiplied with each of the sequence points in the sequence set C to form a sequence set D. Then, the method of generating data provided by this application example acquires the used sequence s from the sequence set D, and processes the data using the acquired sequence s to generate processed data (similar to FIG. 4).

Alternatively, the method for generating data provided by this application example obtains the sequence s1 from the sequence set A, the sequence s2 from the sequence set C, and acquires the sequence s according to the sequence s1 and the sequence s2. For example, the sequence s is obtained by dot-multiplying the sequence s1 and the sequence s2. Then, the method of generating data provided by this application example processes the data using the sequence s to obtain processed data (similar to FIG. 5).

It should be noted that some of the foregoing application examples may also be used to acquire sequences of other lengths, and process the data using the obtained sequence to obtain processed data. For example, similar to the application example 11, the sequence set A may also be a set of Hada code sequences including 8 sequences of length L=8, and a sequence set C containing 8 sequences of length L=8 may be obtained in a similar manner, such as Table 43 or 44 shows.

Table 43

Table 44

Alternatively, similar to the application example 11, the sequence set A may also be a set of Hada code sequences including 16 sequences of length L=16, and a sequence set C containing 16 sequences of length L=16 may be obtained in a similar manner, such as Table 45 shows.

Table 45

Application example 12

In this application example, the sequence set A is a set of Hada code sequences including two sequences of length L=2, and two sequences of length 2 in the sequence set may constitute a second-order Hadamard code matrix, as shown in Table 46.

Table 46

The specified element in the sequence set A is processed, for example, the element-1 in the sequence set A is transformed into a specified value v to obtain a sequence set B1. Here, assuming v = 1i, the sequence set B1 is as shown in Table 47. Here, the element-1 in the sequence set A can also be multiplied by -1i to obtain the sequence set B1.

Table 47

Processing the specified element in the sequence set B1, for example, phase-rotating the specified element in the sequence set B1, for example, performing an π/4 phase rotation on the element having an index of 1 in each sequence in the sequence set B1 or Multiplied by exp(i*π/4) to obtain a sequence set B2, then the resulting sequence set B2 is as shown in Table 48.

Table 48

Then, the sequence set B1 or B2 is taken as the sequence set C, or the sequence set B1 and the sequence set B2 are combined as the sequence set C. Taking the latter as an example, then the sequence set C is as shown in Table 49.

Table 49

The method of generating data provided by this application example obtains the sequence s1 from the sequence set A. It is assumed here that the index of the acquired sequence s1 is 0, then the sequence s1 is [1, 1].

The method also obtains sequence s2 from sequence set C. It is assumed here that the index of the acquired sequence s2 is 1, then the sequence s2 is [1, 1i].

Then, the method of generating data provided by this application example acquires the sequence s according to the sequence s1 and the sequence s2. For example, by performing a point multiplication process on the sequence s1 and the sequence s2 to obtain the sequence s, then the sequence s is [1, 1i]. Then, the method of generating data provided by this application example uses the sequence s to process the data to obtain processed data.

In this application example, the acquired sequence set C can also be directly used as a system preset sequence set. Then, the method for generating data provided by this application example can directly obtain the sequence s2 from the preset sequence set, and according to the sequence. The sequence s is obtained by s1 and sequence s2, and then the data is processed using the acquired sequence s to generate processed data.

As described in the foregoing application example, the application example can also obtain the sequence set D from the sequence set A and the sequence set C. For example, all the sequences obtained by sequentially multiplying each sequence in the sequence set A with each sequence in the sequence set C (i.e., the sequence indexed from 0 to 7 in Table 50) constitute a sequence set D. In an embodiment, the sequence set D can also be combined with the unit matrix sequence set to obtain a larger sequence set D, as shown in Table 50. Then, the method of generating data provided by this application example acquires the used sequence s from the sequence set D, and processes the data using the acquired sequence s to generate processed data.

Table 50

It should be noted that, in the sequence set of each application example described above, the order of the sequences may be different from the order shown in the above table, and the order of the sequence elements may also be different from the order shown in the above table.

Example 4

The embodiment of the present application also provides a storage medium. For example, in the present embodiment, the above storage medium may be set to store program codes, wherein the program codes are used to perform the following steps S1 to S2.

In S1, the third sequence is obtained according to the first sequence and the second sequence, or the third sequence is obtained from the first sequence set.

In S2, the first data is processed using the third sequence to generate second data.

In this embodiment, the foregoing storage medium may include, but is not limited to, a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk, or an optical disk. A variety of media that can store program code.

The embodiment of the present application also provides a processor. For example, in the embodiment, the processor may be configured to run a program, wherein the program is configured to perform the above steps S1 to S2; or the processor may be configured to run the stored program in the storage medium. a code, wherein the program code is for performing the above steps S1 to S2.

For specific examples in this embodiment, reference may be made to the examples described in the foregoing embodiments and implementation manners, and details are not described herein again.

Obviously, those skilled in the art should understand that the above modules or steps of the present application can be implemented by a general computing device, which can be concentrated on a single computing device or distributed in a network composed of multiple computing devices. on. In an embodiment, they may be implemented in program code executable by a computing device such that they may be stored in a storage device for execution by the computing device and, in some cases, may be different than the order herein. The steps shown or described are performed, or they are separately fabricated into individual integrated circuit modules, or a plurality of modules or steps thereof are fabricated as a single integrated circuit module. Thus, the application is not limited to any particular combination of hardware and software.

Claims

A method of generating data, including:

Obtaining a third sequence according to the first sequence and the second sequence, or acquiring the third sequence from the first sequence set;

Processing the first data by using the third sequence to generate second data;

The second sequence is obtained by processing the fourth sequence, or the second sequence is obtained from a third sequence set obtained by processing the second sequence set, or the second sequence is obtained. Is obtained from a preset sequence set;

The first sequence set is obtained according to the second sequence set and the third sequence set, or the first sequence set is a preset first sequence set.
The method of claim 1 wherein said first sequence is one of:

a Hadamard Hadamard sequence of length L;

a vector of length L obtained from a Hadamard code matrix;

a sequence of length L obtained from a set of Hada code sequences;

a sequence of length L obtained according to a Hadamard code sequence generation method;

a Walsh Walsh sequence of length L;

a sequence of length L obtained from a Walsh sequence set;

a sequence of length L obtained according to the Walsh sequence generation method;

The Hadacode matrix includes L vectors of length L, the Hada code sequence set includes L length L sequences, and the Walsh sequence set includes L sequences of length L;

Where L is an integer greater than one.
The method of claim 1 wherein said fourth sequence is one of:

a Hada code sequence of length L;

a vector of length L obtained from a Hadamard code matrix;

a sequence of length L obtained from a set of Hada code sequences;

a sequence of length L obtained according to a Hadamard code sequence generation method;

a Walsh sequence of length L;

a sequence of length L obtained from a Walsh sequence set;

a sequence of length L obtained according to the Walsh sequence generation method;

The Hadacode matrix includes L vectors of length L, the Hada code sequence set includes L length L sequences, and the Walsh sequence set includes L sequences of length L;

Where L is an integer greater than one.
The method of claim 1 wherein processing the fourth sequence results in the second sequence comprising one of:

Processing a first specified element of the fourth sequence to generate a fifth sequence, and then processing the second specified element of the fifth sequence to obtain the second sequence;

Processing the third specified element of the fourth sequence to obtain the second sequence.
The method of claim 4 wherein said processing said first specified element of said fourth sequence comprises one of:

Transforming the first specified element of the fourth sequence into 1i, -1i, 1 or a first specified value;

Multiplying the first specified element of the fourth sequence by 1i, -1i or a second specified value;

Performing phase adjustment or rotation of a*π on the first specified element of the fourth sequence, or multiplying exp(i*a*π);

The first specified element includes one of: an element having an element value of -1, an element having an element value other than 1, an element indicated by a system preset index, and an element determined according to a system preset rule;

Where a is a real number, exp(.) is an exponential operation with a natural constant as the base, i is an imaginary unit and i=sqrt(-1), and sqrt(.) is a square root operation.
The method of claim 4 wherein said processing said second specified element of said fifth sequence comprises one of:

Multiplying the second specified element of the fifth sequence by -1 or a third specified value;

Performing phase adjustment or rotation of b*π on the second designated element of the fifth sequence, or multiplying exp(i*b*π);

Transforming the second specified element of the fifth sequence into a fourth specified value;

Determining a value of the second designated element according to a fourth designated element of the fifth sequence;

The second specified element includes one of: an element indicated by a system preset index, and an element determined according to a system preset rule;

The fourth designated element includes one of: an element indicated by a system preset index, and an element determined according to a system preset rule;

Where b is a real number, exp(.) is an exponential operation with a natural constant as the base, i is an imaginary unit and i=sqrt(-1), and sqrt() is a square root operation.
The method of claim 6, wherein said determining a value of said second specified element based on said fourth designated element of said fifth sequence comprises one of:

Taking the product of the third power of all the elements included in the fourth designated element of the fifth sequence as the value of the second designated element;

The product of the square of the element included in the fourth designated element of the fifth sequence and the fifth specified value is taken as the value of the second designated element.
The method of claim 4 wherein said processing said third specified element of said fourth sequence comprises one of:

Performing phase adjustment or rotation of c*π on the third designated element of the fourth sequence, or multiplying exp(i*c*π);

Multiplying a third specified element of the fourth sequence by a fifth specified element of the fourth sequence;

Multiplying the third specified element of the fourth sequence by a sixth specified value;

The third designated element includes one of: an element whose element value is not 1, an element indicated by a system preset index, and an element determined according to a system preset rule;

The fifth designated element includes one of: an element indicated by a system preset index, and an element determined according to a system preset rule;

Where c is a real number, exp(.) is an exponential operation with a natural constant as the base, i is an imaginary unit and i=sqrt(-1), and sqrt(.) is a square root operation.
The method of claim 1 wherein said second set of sequences comprises one of:

a Hadam code matrix containing L vectors of length L;

a set of Hada code sequences comprising L sequences of length L;

a set of Walsh sequences comprising L sequences of length L;

Where L is an integer greater than one.
The method of claim 1 wherein processing the second set of sequences results in a third set of sequences, including one of the following:

Processing a sixth specified element of each sequence in the second sequence set to generate a fourth sequence set, and then processing a seventh specified element of each sequence in the fourth sequence set to obtain the third sequence set ;

Processing the eighth specified element of each sequence in the second sequence set to obtain the third sequence set.
The method of claim 10 wherein said processing of a sixth designated element of each of said sequences of said second sequence comprises one of:

Transforming a sixth specified element of each sequence in the second sequence set into 1i, -1i, 1 or a seventh specified value;

Multiplying a sixth specified element of each sequence in the second set of sequences by 1i, -1i, or an eighth specified value;

Performing phase adjustment or rotation of d*π on the sixth designated element of each sequence in the second sequence set, or multiplying exp(i*d*π);

The sixth designated element includes one of the following: an element having an element value of -1, an element having an element value other than 1, an element indicated by a system preset index, and an element determined according to a system preset rule;

Where d is a real number, exp(.) is an exponential operation with a natural constant as the base, i is an imaginary unit and i=sqrt(-1), and sqrt(.) is a square root operation.
The method of claim 10 wherein said processing of a seventh designated element of each of said sequences of said fourth sequence comprises one of:

Multiplying a seventh specified element of each sequence in the fourth sequence set by -1 or a ninth specified value;

Performing phase adjustment or rotation of e*π on the seventh designated element of each sequence in the fourth sequence set, or multiplying exp(i*e*π);

Transforming a seventh specified element of each sequence in the fourth sequence set into a tenth specified value;

Determining, according to a ninth specified element of each sequence in the fourth sequence set, a value of a seventh designated element of the corresponding sequence in the fourth sequence set;

The seventh designated element includes one of: an element indicated by a system preset index, and an element determined according to a system preset rule;

The ninth designated element includes one of: an element indicated by a system preset index, and an element determined according to a system preset rule;

Where e is a real number, exp(.) is an exponential operation with a natural constant as the base, i is an imaginary unit and i=sqrt(-1), and sqrt(.) is a square root operation.
The method according to claim 12, wherein said determining a value of a seventh designated element of a corresponding sequence in said fourth sequence set according to a ninth specified element of each sequence in said fourth sequence set, comprising the following One:

Generating the product of the third power of all the elements included in the ninth specified element of each sequence in the fourth sequence set as the value of the seventh designated element of the corresponding sequence in the fourth sequence set;

The product of the square of the element included in the ninth specified element of each sequence in the fourth sequence set and the eleventh specified value is taken as the value of the seventh designated element of the corresponding sequence in the fourth sequence set.
The method of claim 10 wherein said processing the eighth specified element of each of said sequences of said second sequence comprises one of:

Arranging or rotating the eighth specified element of each sequence in the second sequence set by f*π, or multiplying exp(i*f*π);

Multiplying an eighth specified element of each sequence in the second set of sequences by a tenth specified element of a corresponding sequence in the second set of sequences;

Multiplying an eighth specified element of each sequence in the second set of sequences by a twelfth specified value;

The eighth specified element includes one of: an element whose element value is not 1, an element indicated by a system preset index, and an element determined according to a system preset rule;

The tenth specified element includes one of: an element indicated by a system preset index, and an element determined according to a system preset rule;

Where f is a real number, exp(.) is an exponential operation with a natural constant as the base, i is an imaginary unit and i=sqrt(-1), and sqrt(.) is a square root operation.
The method of claim 1, wherein the predetermined sequence set is one of:

a sequence set identical to the third sequence set;

The sequence set shown in the first table:

Form 1

The sequence set shown in the second table:

Form 2

The sequence set shown in Table 3:

Form 3

The sequence set shown in Table 4:

Form 4

Where exp(.) is an exponential operation based on a natural constant, i is an imaginary unit and i=sqrt(-1), and sqrt(.) is a square root operation.
The method of claim 1, wherein the obtaining the third sequence according to the first sequence and the second sequence comprises:

And performing the point multiplication operation on the first sequence and the second sequence to obtain the third sequence.
The method of claim 1, wherein the first sequence set is obtained according to the second sequence set and the third sequence set, including one of the following:

And all sequences obtained by sequentially multiplying each sequence in the second sequence set with each sequence in the third sequence set constitute the first sequence set;

All sequence sets obtained by multiplying a matrix obtained by diagonalizing each sequence in the third sequence set and a matrix formed by the second sequence set constitute the first sequence set.
The method of claim 1 wherein said first set of sequences is one of:

a sequence set obtained from the second sequence set and the third sequence set; the sequence set shown in the fifth table:

Form 5

The sequence set shown in Table 6:

Form 6

Where exp(.) is an exponential operation based on a natural constant, i is an imaginary unit and i=sqrt(-1), and sqrt(.) is a square root operation.
The method of claim 1, wherein the processing the first data using the third sequence to generate second data comprises:

And performing, by using the third sequence, specifying processing of the first data to generate second data; wherein the specifying processing includes at least one of: extension processing, mapping processing, modulation processing, despreading processing, demapping processing, and demodulation processing And system preset processing.
A device for generating data, comprising:

Obtaining a module, configured to acquire a third sequence according to the first sequence and the second sequence, or obtain the third sequence from the first sequence set;

a processing module, configured to process the first data by using the third sequence to generate second data;

The second sequence is obtained by processing the fourth sequence, or the second sequence is obtained from a third sequence set obtained by processing the second sequence set, or the second sequence is obtained. Is obtained from a preset sequence set;

The first sequence set is obtained according to the second sequence set and the third sequence set, or the first sequence set is a preset first sequence set.
A storage medium, the storage medium comprising a stored program, wherein the program is executed to perform the method of any one of claims 1 to 19.
A processor, the processor being arranged to run a program, wherein the program is executed to perform the method of any one of claims 1 to 19.