CN111885633B - Same-frequency neighbor cell detection method and device of NR system - Google Patents
Same-frequency neighbor cell detection method and device of NR system Download PDFInfo
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Abstract
The embodiment of the invention provides a method and a device for detecting a same-frequency adjacent region of an NR system, wherein the method comprises the following steps: carrying out PSS (power system stabilizer) related detection, SSS (secondary synchronization signal) detection, false report detection and DMRS (demodulation reference signal) detection on the acquired two frames of time domain data, and detecting a corresponding cell set; performing RSRP measurement and PBCH detection on each cell in the cell set, and recording a part of SSB index of each cell on DMRS data and a residual part of SSB index and half-frame indication information on PBCH data; and determining the position of the system frame header of each cell. The embodiment of the invention respectively performs PSS (Power System stabilizer) related detection, SSS (second order distortion) detection and false report detection on the acquired complete two frames of time domain data, and performs two-step verification of DMRS (demodulation reference signal) detection and PBCH (physical broadcast channel) detection on the detected same-frequency cell, thereby ensuring high reliability of the detected same-frequency cell and simultaneously completing energy RSRP (reference Signal received Power) measurement and frame header information determination on the cell.
Description
Technical Field
The invention belongs to the technical field of mobile communication, and particularly relates to a method and a device for detecting a same-frequency adjacent region of an NR system.
Background
With the explosive growth of mobile data demand, new air interface content nr (new radio) technology, supported by more and more operators and manufacturers, has become the mainstream standard of the 5G (the 5th Generation mobile communication technology) system. There are already many NR commercial networks around the world, and in order to fully utilize the valuable bandwidth resources of 5G, the co-frequency technology is the most commonly used networking scheme.
In the initial stage of actual network establishment and during maintenance, the NR common-frequency cells are usually required to be detected, and since the NR technology is different from the conventional lte (long Term evolution) technology, the NR common-frequency neighbor detection method applied to the 4G network is not applicable to the 5G network.
Disclosure of Invention
To overcome the above existing problems or at least partially solve the above problems, embodiments of the present invention provide a method and an apparatus for detecting an intra-frequency neighborhood of an NR system.
According to a first aspect of the embodiments of the present invention, there is provided a method for detecting an intra-frequency neighborhood of an NR system, including:
acquiring complete two frames of time domain data;
PSS correlation detection is carried out on the two frames of time domain data, and a PSS time domain starting position and SSB data are obtained;
SSS detection, false report detection and DMRS detection are carried out on SSB data respectively, a corresponding cell set is detected, and a part of SSB index of each cell in the cell set on the DMRS data is recorded;
PBCH detection is carried out on each cell in the cell set, and the residual SSB index and the half-frame indication information of each cell on PBCH data are recorded;
and determining the system frame header position of each cell according to the part SSB index of each cell on the DMRS data, the rest SSB index on the PBCH data and the half-frame indication information.
On the basis of the above technical solutions, the embodiments of the present invention may be further improved as follows.
Optionally, the performing PSS correlation detection on the two frames of time domain data, and acquiring the PSS time domain starting position and the SSB data includes:
generating three local groups of frequency domain primary synchronization signals PSS according to NR standard;
performing sliding correlation on the two frames of time domain data and the three local groups of PSS signals in the frequency domain respectively, and converting the two frames of time domain data to the time domain to obtain three groups of time domain correlation peak values and a position corresponding to each group of time domain correlation peak values;
taking the position corresponding to the maximum time domain correlation peak value as the PSS time domain starting position;
and acquiring the SSB data according to the PSS time domain starting position and the time-frequency domain position diagram of the SSB data.
Optionally, the SSS detection, the false positive detection, and the DMRS detection are performed on the SSB data, and detecting a corresponding cell set includes:
acquiring SSS data according to the SSB data and the position relation between the PSS signal and the SSS signal in the SSB data;
performing multiple rounds of related detection on SSS data and multiple sets of locally generated SSS data, and performing false report detection on a detection result to obtain a first cell set after SSS detection;
and carrying out DMRS (demodulation reference signal) related detection on each cell in the first cell set to obtain a second cell set, and recording the part SSB index of each cell in the second cell set on the DMRS data.
Optionally, the performing multiple rounds of relevant detection on the SSS data and multiple sets of locally generated SSS data includes:
setting iteration times N and a relevant peak-to-average ratio threshold;
if the current iteration number r is 1, respectively correlating the acquired SSS data with 1008 groups of locally generated SSS signals to obtain 1008 groups of correlation peak values, and recording cells corresponding to each group of correlation peak values; if the current iteration times r is larger than 1, respectively correlating SSS data subjected to interference elimination of the last iteration with 1008 groups of SSS signals generated locally to obtain 1008 groups of correlation peak values, and recording cells corresponding to each group of correlation peak values;
comparing the peak-to-average ratio of any group of related peak values obtained by the iteration with a related peak-to-average ratio threshold, if the peak-to-average ratio of any group of related peak values is greater than the related peak-to-average ratio threshold, adding the cell corresponding to any group of related peak values into a first cell set, and performing channel estimation and interference elimination on the SSS signals of the iteration.
Optionally, the false report detection is performed on the cells in the first cell set in the following manner:
acquiring a channel weight coefficient of each cell in a first cell set to obtain the maximum channel weight coefficient of all cells;
and if the absolute value of the difference value between the channel weight coefficient and the maximum channel weight coefficient of any cell is greater than a preset threshold value, the cell is a virtual test, and the cell is removed from the first cell set.
Optionally, the performing DMRS related detection on each cell in the first cell set to obtain a second cell set, and recording a part SSB index of each cell in the second cell set on the DMRS data includes:
acquiring DMRS data of three symbols according to the SSB data and the position relation between the DMRS in the SSB data and other signals;
for any cell in a first cell set, correlating the DMRS data of the cell with the DMRS data on three symbols respectively to obtain three correlation peak values;
if any correlation peak value is larger than a preset peak value threshold, any cell is effective on a symbol corresponding to any correlation peak value;
counting the effective number of the any cell on three symbols, and recording the part SSB index of the any cell on the effective symbols;
if the validity number is more than or equal to 2 and the SSB index of each valid symbol of any cell is the same, then any cell is valid;
and recording the part SSB index of each effective cell on the DMRS, and adding all effective cells to the second cell set.
Optionally, the performing PBCH detection on each cell in the cell set, and recording the remaining SSB index and the half-frame indication information of each cell on the PBCH data includes:
acquiring PBCH data according to the SSB data and the position relation between PBCH and other signals in the SSB data;
performing PBCH receiving end decoding on each cell in the second cell set;
if the PBCH decoding result of any cell passes CRC verification, the any cell is valid, and the any cell is added into a third cell set;
and acquiring the residual SSB index and the half-frame indication information of each cell for the load information carried by the PBCH of each cell in the third cell set.
According to a second aspect of the embodiments of the present invention, there is provided a device for detecting a neighboring cell of the same frequency in an NR system, including:
the first acquisition module is used for acquiring complete two frames of time domain data;
the second acquisition module is used for carrying out PSS correlation detection on the two frames of time domain data to acquire a PSS time domain starting position and SSB data;
a third obtaining module, configured to perform SSS detection, false report detection, and DMRS detection on the SSB data, respectively, and obtain a cell set corresponding to the detection;
the recording module is used for detecting and recording the part SSB index of each cell in the cell set on the DMRS data through the DMRS; and recording the residual SSB index and the half-frame indication information of each cell on PBCH data by carrying out PBCH detection on each cell in the cell set;
and the determining module is used for determining the system frame header position of each cell according to the part SSB index of each cell on the DMRS data, the rest SSB index on the PBCH data and the half-frame indication information.
According to a third aspect of the embodiments of the present invention, there is further provided an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor invokes the program instruction to execute the method for detecting an intra-frequency neighboring cell of an NR system provided in any one of the various possible implementation manners of the first aspect.
According to a fourth aspect of the embodiments of the present invention, there is further provided a non-transitory computer-readable storage medium, where the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions cause the computer to execute the method for detecting an intra-frequency neighboring cell of an NR system provided in any one of the various possible implementation manners of the first aspect.
The embodiment of the invention provides a method and a device for detecting a same-frequency adjacent cell of an NR system, wherein the method respectively performs PSS (Power System stabilizer) related detection, SSS (second order distortion) detection and false positive detection on acquired complete two frames of time domain data, and performs two-step verification of DMRS (demodulation reference signal) detection and PBCH (physical broadcast channel) detection on the detected same-frequency cell, so that the reliability of the detected same-frequency cell is high, and the RSRP (reference signal received power) measurement of the cell and the determination of frame header information are completed.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a schematic overall flow chart of a same-frequency neighboring cell detection method of an NR system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of the time-frequency domain location relationship of an SSB block in an NR system;
fig. 3 is a schematic view of an overall structure of a same-frequency neighboring cell detection apparatus of an NR system according to an embodiment of the present invention;
fig. 4 is a schematic view of an overall structure of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Referring to fig. 1, a method for detecting a neighboring cell of an NR system in a same frequency according to an embodiment of the present invention is provided, including:
acquiring complete two frames of time domain data;
PSS correlation detection is carried out on the two frames of time domain data, and a PSS time domain starting position and SSB data are obtained;
SSS detection, false report detection and DMRS detection are carried out on SSB data respectively, a corresponding cell set is detected, and a part of SSB index of each cell in the cell set on the DMRS data is recorded;
PBCH detection is carried out on each cell in the cell set, and the residual SSB index and the half-frame indication information of each cell on PBCH data are recorded;
and determining the system frame header position of each cell according to the part SSB index of each cell on the DMRS data, the rest SSB index on the PBCH data and the half-frame indication information.
It can be understood that, in the cell detection process, two complete frames of time domain data need to be acquired. In a general NR system, the period of SSB (synchronization Signal and PBCH block) may be configured to be 5ms, 10ms, 20ms, 40ms, 80ms, and 160ms, and the period configuration cannot be determined in the initial cell search.
Because the time domain starting position and period of unknown SSB data can be determined only by performing correlation detection on a primary Synchronization signal PSS (Primary Synchronization signals), and in order to reduce the complexity and reliability of PSS detection, downsampling and filtering processing needs to be performed on 20ms data. The method comprises the steps of measuring Reference Signal Receiving Power (RSRP) of each cell in a cell set, detecting Physical channel broadcast (PBCH), recording a part SSB index of each cell on DMRS data and a rest SSB index and half-frame indication information on PBCH data, and determining a system frame header position of each cell.
As an optional embodiment, performing PSS correlation detection on two frames of time domain data, and acquiring the PSS time domain start position and the SSB data includes:
generating three groups of frequency domain primary synchronization signals PSS corresponding to local cell groups ID 0, 1 and 2 according to NR standard;
performing segmented sliding correlation on the two frames of time domain data and the three local groups of PSS signals in the frequency domain respectively, and converting the two frames of time domain data to the time domain to obtain three groups of time domain correlation peak values and a position corresponding to each group of time domain correlation peak values;
taking the position corresponding to the maximum time domain correlation peak value as the PSS time domain starting position;
and acquiring the SSB data according to the PSS time domain starting position and the time-frequency domain position diagram of the SSB data.
It can be understood that, the preprocessed two-frame down-sampling data is segmented and correlated with 3 groups of locally generated main synchronization signals in a frequency domain, and the result is transformed to a time domain to obtain a correlation peak value and determine the time domain position of the PSS;
performing frequency offset estimation by using CP (cyclic prefix) according to the time domain position of the PSS, and performing frequency offset compensation on time domain data according to the frequency offset value of the frequency offset estimation to finish frequency offset calibration;
and according to the time domain position of the PSS and the time-frequency domain position diagram of the SSB data, taking a complete SSB data from the time domain data after the frequency offset calibration. The time-frequency domain location map of the SSB block can be seen in fig. 2.
As an optional embodiment, the SSS detection, the false positive detection, and the DMRS detection are performed on SSB data, and the detecting a corresponding cell set includes:
acquiring SSS (Secondary Synchronization Signal) data according to the SSB data and the position relation between a PSS Signal and an SSS (Secondary Synchronization Signal) Signal in the SSB data;
performing multiple rounds of related detection on SSS data and multiple sets of locally generated SSS data, and performing false report detection on a detection result to obtain a first cell set after SSS detection; and performing multiple rounds of related detection on SSS data, performing false report elimination on the detection result, and searching for adjacent cells as much as possible and eliminating false report cells.
And carrying out DMRS (demodulation reference signal) related detection on each cell in the first cell set to obtain a second cell set, and recording the part SSB index of each cell in the second cell set on the DMRS data.
As an alternative embodiment, the process of performing multiple rounds of correlation detection on the SSS data and multiple sets of locally generated SSS data includes:
setting iteration times N and a relevant peak-to-average ratio threshold th-SSS;
if the current iteration number r is 1, respectively correlating the acquired SSS data with 1008 groups of locally generated SSS signals to obtain 1008 groups of correlation peak values, and recording cells corresponding to each group of correlation peak values; if the current iteration times r is larger than 1, respectively correlating SSS data subjected to interference elimination of the last iteration with 1008 groups of SSS signals generated locally to obtain 1008 groups of correlation peak values, and recording cells corresponding to each group of correlation peak values;
comparing the peak-to-average ratio of any group of related peaks obtained by the iteration with a related peak-to-average ratio threshold th-SSS, if the peak-to-average ratio of any group of related peaks is greater than the related peak-to-average ratio threshold, adding the cells corresponding to any group of related peaks into a first cell set, and performing channel estimation and interference elimination on the SSS signals of the iteration until the iteration times are greater than N.
It can be understood that in the detection of the SSS, for repeated loop iteration, the number of iterations N and the associated peak-to-average ratio threshold th-SSS are first set. For each iteration, the SSS data is correlated with 100 sets of locally generated SSS data, resulting in 1008 sets of correlation peaks, and the cell corresponding to each correlation peak is recorded.
And calculating the peak-to-average ratio of each correlation peak according to the 1008 correlation peaks, comparing each peak-to-average ratio with a set peak-to-average ratio threshold th-SSS, and adding the corresponding cell into the first cell set when the peak-to-average ratio of the correlation peaks is greater than the peak-to-average ratio threshold th-SSS and the corresponding cell is a preliminary effective cell. And performing SSS channel estimation and interference elimination on SSS data used in local iteration to obtain SSS data after interference elimination, wherein the SSS data is used as SSS data used in next iteration, and performing loop iteration until the number of iterations reaches N.
Specifically, the peak-to-average ratio of each correlation peak is calculated according to the 1008 correlation peaks, that is, the average value of the 1008 correlation peaks is calculated, and the peak-to-average ratio of each correlation peak can be obtained by dividing each correlation peak by the average value of the correlation peaks.
As an optional embodiment, after the SSS correlation detection is completed, the sorting and false positive detection are performed for each cell in the first cell set, and the detection process includes:
acquiring a channel weight coefficient of each cell in a first cell set to obtain the maximum channel weight coefficient of all cells;
and if the absolute value of the difference value between the channel weight coefficient and the maximum channel weight coefficient of any cell is greater than a preset threshold value, the cell is a virtual test, and the cell is removed from the first cell set.
As an optional embodiment, performing DMRS correlation detection on each cell in the first cell set to obtain a second cell set, and recording a part SSB index of each cell in the second cell set on DMRS data includes:
acquiring DMRS data of three symbols according to the SSB data and the position relation between the DMRS in the SSB data and other signals;
for any cell in a first cell set, correlating the DMRS data of the cell with the DMRS data on three symbols respectively to obtain three correlation peak values;
if any correlation peak value is larger than a preset peak value threshold, any cell is effective on a symbol corresponding to any correlation peak value;
counting the effective number of the any cell on three symbols, and recording the part SSB index of the any cell on the effective symbols;
if the validity number is more than or equal to 2 and the SSB index of each valid symbol of any cell is the same, then any cell is valid;
and recording the part SSB index of each effective cell on the DMRS, and adding all effective cells to the second cell set.
It can be understood that, for any cell in the first cell set, the DMRS data of the cell and the 3-symbol DMRS data are respectively subjected to correlation detection, so as to obtain a correlation peak corresponding to the 3-symbol DMRS data. For the obtained 3 correlation peak values, if one of the correlation peak values is greater than a preset peak value threshold, the cell is valid on the symbol DMRSs corresponding to the correlation peak value, and respectively determines whether the cell is valid on the 3 symbol DMRSs, and counts the valid number, for example, if the cell is valid on two of the 3 symbol DMRSs, the valid number of the cell on the 3 symbol DMRSs is 2. For each cell in the first cell set, the effective number on the 3-symbol DMRSs is counted, and a portion SSB index of each cell on the corresponding effective symbol DMRSs is recorded, for example, the portion SSB index of a certain cell on the 2 effective symbol DMRSs is recorded respectively.
For any cell, if the effective number of statistics is greater than or equal to 2 and the partial SSB index recorded on each symbol DMRS is the same, the cell is effective, and the partial SSB index of the effective cell on the DMRS data is recorded.
And detecting the validity of each cell in the first cell set, and adding the detected valid cell into the second cell set. And for each cell in the second cell set, performing RSRP measurement according to the DMRS data to obtain the received signal strength RSRP of each cell.
As an optional embodiment, performing PBCH detection on each cell in the cell set, and recording the remaining SSB index and the half-frame indication information of each cell on PBCH data includes:
acquiring PBCH data according to the SSB data and the position relation between PBCH and other signals in the SSB data;
performing PBCH receiving end decoding on each cell in the second cell set;
if the PBCH decoding result of any cell passes CRC verification, any cell is valid, and any cell is added into a third cell set;
and acquiring the residual SSB index and the half-frame indication information of each cell for the load information carried by the PBCH of each cell in the third cell set.
It can be understood that PBCH data is obtained according to SSB data extracted from two frames of time domain data and a positional relationship of PBCH and other signals in the SSB data. PBCH detection is performed for each cell in the second set of cells using PBCH data. Specifically, a decoding process of the PBCH receiving end is performed on each cell in the second cell set, CRC verification is performed on the decoding result, and if the decoding result passes the CRC verification, the cell is valid, and the valid cell is added to the third cell set.
And for each cell in the third cell set, completing the analysis of the load carried by the PBCH, and obtaining the SSB index and the half-frame indication information of the cell residual part by analyzing the load information carried by the PBCH.
And obtaining the system frame header position of each cell according to the obtained part SSB index of each cell on the DMRS data, the obtained rest SSB index of each cell on the PBCH data and the obtained half-frame indication information.
In another embodiment of the present invention, an apparatus for detecting an adjacent region with the same frequency in an NR system is provided, where the apparatus is used to implement the methods in the foregoing embodiments. Therefore, the description and definition in each embodiment of the intra-frequency neighbor detection method of the NR system described above can be used for understanding each execution module in the embodiment of the present invention. Fig. 3 is a schematic view of an overall structure of a device for detecting a neighboring cell of the same frequency in an NR system according to an embodiment of the present invention, where the device includes:
a first obtaining module 31, configured to obtain complete two frames of time domain data;
a second obtaining module 32, configured to perform PSS correlation detection on the two frames of time domain data, and obtain a PSS time domain starting position and SSB data;
a third obtaining module 33, configured to perform SSS detection, false positive detection, and DMRS detection on the SSB data, respectively, to obtain a cell set corresponding to the detection;
a recording module 34, configured to detect and record, through the DMRS, a portion SSB index of each cell in the cell set on the DMRS data; and recording the residual SSB index and the half-frame indication information of each cell on PBCH data by carrying out PBCH detection on each cell in the cell set;
a determining module 35, configured to determine a system frame header position of each cell according to the partial SSB index of each cell on the DMRS data, the remaining SSB index on the PBCH data, and the field indication information.
The same-frequency neighboring cell detection system of the NR system according to the embodiment of the present invention corresponds to the same-frequency neighboring cell detection method of the NR system according to each of the foregoing embodiments, and the related technical features of the same-frequency neighboring cell detection system of the NR system may refer to the related technical features of the same-frequency neighboring cell detection method of the NR system according to each of the foregoing embodiments, and are not described herein again.
Fig. 4 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 4: a processor (processor)410, a communication Interface 420, a memory (memory)430 and a communication bus 440, wherein the processor 410, the communication Interface 420 and the memory 430 are communicated with each other via the communication bus 440. The processor 410 may call logic instructions in the memory 430 to perform the following method: acquiring complete two frames of time domain data; PSS correlation detection is carried out on the two frames of time domain data, and a PSS time domain starting position and SSB data are obtained; SSS detection, false report detection and DMRS detection are carried out on SSB data respectively, a corresponding cell set is detected, and a part of SSB index of each cell in the cell set on the DMRS data is recorded; PBCH detection is carried out on each cell in the cell set, and the residual SSB index and the half-frame indication information of each cell on PBCH data are recorded; and determining the system frame header position of each cell according to the part SSB index of each cell on the DMRS data, the rest SSB index on the PBCH data and the half-frame indication information.
In addition, the logic instructions in the memory 430 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The present embodiments provide a non-transitory computer-readable storage medium storing computer instructions that cause a computer to perform the methods provided by the above method embodiments, for example, including: acquiring complete two frames of time domain data; PSS correlation detection is carried out on the two frames of time domain data, and a PSS time domain starting position and SSB data are obtained; SSS detection, false report detection and DMRS detection are carried out on SSB data respectively, a corresponding cell set is detected, and a part of SSB index of each cell in the cell set on the DMRS data is recorded; PBCH detection is carried out on each cell in the cell set, and the residual SSB index and the half-frame indication information of each cell on PBCH data are recorded; and determining the system frame header position of each cell according to the part SSB index of each cell on the DMRS data, the rest SSB index on the PBCH data and the half-frame indication information.
The method and the device for detecting the same-frequency adjacent cells of the NR system respectively perform PSS (power system version) related detection, SSS (secondary synchronization signal) detection and false positive detection on acquired complete two frames of time domain data, perform multiple rounds of iterative related detection on SSB (secondary synchronization signal) data during SSS (secondary synchronization signal) detection, perform false positive elimination on a detection result, search for adjacent cells as much as possible and eliminate false positive cells, perform two-step verification of DMRS (demodulation reference signal) detection and PBCH (physical broadcast channel) detection on the detected same-frequency cells, ensure high reliability of the detected same-frequency cells, and complete energy RSRP (reference signal received power) measurement and frame header information determination on the cells.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for detecting a same-frequency adjacent region of an NR system is characterized by comprising the following steps:
acquiring complete two frames of time domain data;
PSS correlation detection is carried out on the two frames of time domain data, and a PSS time domain starting position and SSB data are obtained;
SSS detection, false report detection and DMRS detection are carried out on SSB data respectively, a corresponding cell set is detected, and a part of SSB index of each cell in the cell set on the DMRS data is recorded;
PBCH detection is carried out on each cell in the cell set, and the residual SSB index and the half-frame indication information of each cell on PBCH data are recorded;
and determining the system frame header position of each cell according to the part SSB index of each cell on the DMRS data, the rest SSB index on the PBCH data and the half-frame indication information.
2. The method of claim 1, wherein the performing PSS correlation detection on two frames of time domain data to obtain the PSS time domain starting position and the SSB data comprises:
generating three local groups of frequency domain primary synchronization signals PSS according to NR standard;
performing sliding correlation on the two frames of time domain data and the three local groups of PSS signals in the frequency domain respectively, and converting the two frames of time domain data to the time domain to obtain three groups of time domain correlation peak values and a position corresponding to each group of time domain correlation peak values;
taking the position corresponding to the maximum time domain correlation peak value as the PSS time domain starting position;
and acquiring the SSB data according to the PSS time domain starting position and the time-frequency domain position diagram of the SSB data.
3. The same-frequency neighbor cell detection method according to claim 1 or 2, wherein the SSB data is subjected to SSS detection, false positive detection and DMRS detection, and the detection of the corresponding cell set comprises:
acquiring SSS data according to the SSB data and the position relation between the PSS signal and the SSS signal in the SSB data;
performing multiple rounds of related detection on SSS data and multiple sets of locally generated SSS data, and performing false report detection on a detection result to obtain a first cell set after SSS detection;
and carrying out DMRS (demodulation reference signal) related detection on each cell in the first cell set to obtain a second cell set, and recording the part SSB index of each cell in the second cell set on the DMRS data.
4. The same-frequency neighbor detection method according to claim 3, wherein the performing multiple rounds of correlation detection on SSS data and multiple sets of locally generated SSS data comprises:
setting iteration times N and a relevant peak-to-average ratio threshold;
if the current iteration number r is 1, respectively correlating the acquired SSS data with 1008 groups of locally generated SSS signals to obtain 1008 groups of correlation peak values, and recording cells corresponding to each group of correlation peak values; if the current iteration times r is larger than 1, respectively correlating SSS data subjected to interference elimination of the last iteration with 1008 groups of SSS signals generated locally to obtain 1008 groups of correlation peak values, and recording cells corresponding to each group of correlation peak values;
comparing the peak-to-average ratio of any group of related peak values obtained by the iteration with a related peak-to-average ratio threshold, if the peak-to-average ratio of any group of related peak values is greater than the related peak-to-average ratio threshold, adding the cell corresponding to any group of related peak values into a first cell set, and performing channel estimation and interference elimination on the SSS signals of the iteration.
5. The same-frequency neighbor cell detection method according to claim 4, characterized in that the false positive detection is performed on the cells in the first cell set by the following method:
acquiring a channel weight coefficient of each cell in a first cell set to obtain the maximum channel weight coefficient of all cells;
and if the absolute value of the difference value between the channel weight coefficient and the maximum channel weight coefficient of any cell is greater than a preset threshold value, the cell is a virtual test, and the cell is removed from the first cell set.
6. The method of claim 5, wherein the performing DMRS related detection on each cell in the first cell set to obtain a second cell set, and recording the SSB index of each cell in the second cell set on the DMRS data includes:
acquiring DMRS data of three symbols according to the SSB data and the position relation between the DMRS in the SSB data and other signals;
for any cell in a first cell set, correlating the DMRS data of the cell with the DMRS data on three symbols respectively to obtain three correlation peak values;
if any correlation peak value is larger than a preset peak value threshold, any cell is effective on a symbol corresponding to any correlation peak value;
counting the effective number of the any cell on three symbols, and recording the part SSB index of the any cell on the effective symbols;
if the validity number is more than or equal to 2 and the SSB index of each valid symbol of any cell is the same, then any cell is valid;
and recording the part SSB index of each effective cell on the DMRS, and adding all effective cells to the second cell set.
7. The same-frequency neighboring cell detection method of claim 6, wherein the performing PBCH detection on each cell in the cell set, and the recording of the remaining SSB index and the half-frame indication information of each cell on PBCH data comprises:
acquiring PBCH data according to the SSB data and the position relation between PBCH and other signals in the SSB data;
performing PBCH receiving end decoding on each cell in the second cell set;
if the PBCH decoding result of any cell passes CRC verification, the any cell is valid, and the any cell is added into a third cell set;
and acquiring the residual SSB index and the half-frame indication information of each cell for the load information carried by the PBCH of each cell in the third cell set.
8. A same-frequency neighbor cell detection device of an NR system is characterized by comprising:
the first acquisition module is used for acquiring complete two frames of time domain data;
the second acquisition module is used for carrying out PSS correlation detection on the two frames of time domain data to acquire a PSS time domain starting position and SSB data;
a third obtaining module, configured to perform SSS detection, false report detection, and DMRS detection on the SSB data, respectively, and obtain a cell set corresponding to the detection;
the recording module is used for detecting and recording the part SSB index of each cell in the cell set on the DMRS data through the DMRS; and recording the residual SSB index and the half-frame indication information of each cell on PBCH data by carrying out PBCH detection on each cell in the cell set;
and the determining module is used for determining the system frame header position of each cell according to the part SSB index of each cell on the DMRS data, the rest SSB index on the PBCH data and the half-frame indication information.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor, when executing the program, carries out the steps of the method for intra-frequency neighbor detection of an NR system according to any of claims 1 to 7.
10. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor, performs the steps of the intra-frequency neighbor detection method of the NR system of any of claims 1 to 7.
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