CN102255692A - Data compression method and equipment - Google Patents
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- CN102255692A CN102255692A CN2011101973565A CN201110197356A CN102255692A CN 102255692 A CN102255692 A CN 102255692A CN 2011101973565 A CN2011101973565 A CN 2011101973565A CN 201110197356 A CN201110197356 A CN 201110197356A CN 102255692 A CN102255692 A CN 102255692A
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Abstract
The invention discloses a data compression method and equipment. The method comprises the following steps: a compression end counts the distribution characteristic of an input signal; the compression end determines a compression parameter through use of the distribution characteristic; and the compression end compresses the input signal by using the compression parameter. In the embodiment of the invention, the compression parameter is adjusted in real time by counting the distribution characteristic of the input signal, and the input signal is compressed by using the compression parameter, so that the compression performance is further optimized without increasing the complexity of base station equipment.
Description
Technical field
The present invention relates to communication technical field, relate in particular to a kind of data compression method and equipment.
Background technology
At LTE(Long Term Evolution, Long Term Evolution)/LTE-A(LTE-Advanced, senior LTE) in the system, base station equipment (as eNB) is a distributed base station equipment, and base station equipment is by BBU(Building Base band Unit, baseband processing unit), RRU(Radio Remote Unit, RF remote unit) constitutes, it is a kind of base station combination of can the flexible distributed formula installing, as shown in Figure 1, the schematic diagram of the base station equipment of forming for RRU and BBU, the interface between RRU and the BBU is the Ir interface, be that RRU passes through the Ir interface and links to each other with BBU, and transmit the data between the two.
In the prior art, the Ir interface adopts transmission mediums such as optical fiber, if the data of Ir interface are compressed, then can significantly reduce the demand of transmission medium.The data compression mode of the Ir interface in the current LTE system is: regulates by input signal being carried out automatic gain, and the dynamic range of control signal, the quantification bit wide, the quantization algorithm that reduce signal accordingly are uniform quantization.This mode can guarantee on the basis of signal reliability, and to 12bit, the ratio before and after the compression is 4:3 with the data compression of 16bit bit wide.Wherein, the ratio of the size of data before and after the compression is a compression ratio.
In realizing process of the present invention, the inventor finds to exist at least in the prior art following problem:
The compression ratio of prior art is low, and the versatility of algorithm is not strong, and when input signal was evenly distribution, uniform quantization was best quantizer; But when input signal was the non-uniform Distribution formula, uniform quantization was reasonable inadequately to the distribution of quantization level, can't fully remove the redundant composition in the signal.
Summary of the invention
The embodiment of the invention provides a kind of data compression method and equipment, reasonably data are compressed, optimizes compression performance.
In order to achieve the above object, the embodiment of the invention provides a kind of data compression method, comprising:
The distribution character of compression end statistics input signal;
Described compression end is determined compression parameters by described distribution character;
Described compression end utilizes described compression parameters that described input signal is compressed.
The embodiment of the invention provides a kind of data compression device, comprising:
Statistical module is used to add up the distribution character of input signal;
Determination module is used for determining compression parameters by described distribution character;
Compression module is used to utilize described compression parameters that described input signal is compressed.
Compared with prior art, the present invention has the following advantages at least:
By the distribution character of statistics input signal, come real-time adjustment compression parameters, and utilize this compression parameters that input signal is compressed, thereby reach more optimal compression performance, and do not increase the complexity of base station equipment.
Description of drawings
In order to be illustrated more clearly in technical scheme of the present invention, the accompanying drawing of required use is done to introduce simply in will describing embodiment below, apparently, accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is to be the schematic diagram of the base station equipment of RRU and BBU composition in the prior art;
Fig. 2 is a kind of data compression method schematic flow sheet that the embodiment of the invention one provides;
Fig. 3 is the schematic diagram that comprises the base station equipment of RRU and BBU in the embodiment of the invention one;
Fig. 4 is the real-time training process schematic diagram of the value of compression parameters in the embodiment of the invention two;
Fig. 5 is a kind of data compression device structural representation that the embodiment of the invention four provides.
Embodiment
The inventor notices in realizing process of the present invention: the technical performance of tolerance communication is from the quality and quantity of communication quantitative index measure of effectiveness, quality index degree of reiability to be discussed.When guaranteeing communication quality,, guarantee under limited channel capacity, can transmit more signal by seeking the mode that improves system effectiveness.Wherein, if then can there be a large amount of redundant compositions in signal without processing, therefore can remove unnecessary composition by modes such as quantification and compressions, realizes the lifting of validity.
In the practical application, produce quantization error, and introduce distortion, therefore need limit the minimum quantification compression coding mode of the required bit of searching under the distortion condition owing to quantize meeting.
In prior art, the LTE/LTE-A system adopts technology such as big bandwidth, many antennas, thereby cause Ir interface data quantity transmitted bigger, problems such as existing compression ratio is low, the embodiment of the invention provides a kind of data compression method and equipment, carry out adaptive data compression with the data that the Ir interface is transmitted, thereby reduce the volume of transmitted data of Ir interface.
Below in conjunction with the accompanying drawing among the present invention, the technical scheme among the present invention is clearly and completely described, obviously, described embodiment only is a part of embodiment of the present invention, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills belong to the scope of protection of the invention not making the every other embodiment that is obtained under the creative work prerequisite.
Embodiment one
It (is signal that the embodiment of the invention one provides a kind of data, include but not limited to the signal of 3G/4G system) compression method, be applied to comprise in the data transmission system of compression end and decompressor end, for each data transmission set, it can be compression end, also can be decompressor end, for example, this method can be applicable to comprise in the base station equipment of BBU and RRU, and is used for the data that the Ir interface between BBU and the RRU is transmitted are compressed.When BBU when RRU sends data, then BBU is a compression end, RRU is a decompressor end; When RRU when BBU sends data, then BBU is a decompressor end, RRU is a compression end.As shown in Figure 2, this method may further comprise the steps:
Concrete, but the input signal in the compression end buffer memory statistic period T, and add up the distribution character of the input signal of buffer memory in this statistic period T.
In the LTE/LTE-A system, the signal of different configurations or the characteristics of signals in the different time sections be difference to some extent, and the performance loss for more effective reduction compression causes needs in the embodiment of the invention characteristics of signals is carried out real-time statistics.The agreement measurement period is T, and then compression end need be carried out buffer memory with the signal of T in the time period, and the distribution character of the signal of the interior buffer memory of statistics T.
In the practical application, the mode of the distribution character of statistics input signal includes but not limited to: the probability density distribution of statistical signal and typical probability distribution curve comparison, look for its most similar probability distribution, and select different compression curves according to this probability distribution then.
In the embodiment of the invention, before the distribution character of statistics input signal, compression end can also be carried out the adjustment of power or amplitude to input signal, for example, input signal is carried out AGC(Automatic Gain Control, automatic gain control) adjust.
Concrete, in order to make the embodiment of the invention can support bigger input signal dynamic range, and make adjusted signal be suitable for compression more, before the distribution character of statistics input signal, can carry out AGC to input signal earlier and adjust.
Because the AGC desired value is very big to quantizing back systematic function influence, different AGC desired values can influence the distribution character of signal, thereby influences the compression performance of signal, therefore needs reasonably to select the AGC desired value to obtain optimum systematic function.For example, when the AGC desired value was big, the probability density of large-signal will be bigger, therefore can select less quantized interval in the large-signal zone, otherwise, select less quantized interval in small signal region.
Consider that transmission signals is obeyed Gauss or class Gaussian Profile in the LTE/LTE-A system, the amplitude distribution of signal is also inhomogeneous, therefore the nonlinear quantization mode is applicable to the compression of carrying out data more, wherein the non-linear compression mode can be selected A rule or μ rule, promptly according to the distribution character of input signal, the value of adaptive selection parameter A of compression end or parameter μ, the value of compression parameters are parameter A value or parameter μ value.
Can also select other non-linear compression mode in the practical application, compression parameters is not limited to parameter A value or parameter μ value, repeats no more in the embodiment of the invention.
In the embodiment of the invention, compression end determines that by distribution character the mode of compression parameters includes but not limited to:
Mode one:
Compression end is determined compression parameters by the distribution character of maintenance in advance and the corresponding relation and the distribution character of compression parameters.For example, have the record of distribution character 1 and compression parameters 1 in advance in the corresponding relation of Wei Huing, then when definite distribution character is distribution character 1, can determine that compression parameters is a compression parameters 1.
In the embodiment of the invention, safeguard the process of the corresponding relation of distribution character and compression parameters, be specially: determine the optimum distribution character and the corresponding relation of compression parameters by emulation tool, thereby safeguard the corresponding relation of distribution character and compression parameters.Certainly be not limited thereto in the practical application, for example, can also utilize the training signal realization to safeguard the process of the corresponding relation of distribution character and compression parameters.
Concrete, compression end is compressed training signal respectively by different compression parameters, and utilizes compression parameters that data are decompressed, and obtains decompressed signal; Decompressed signal by adding up different compression parameters correspondences and the difference between the training signal, and select the compression parameters of training signal correspondence according to statistics; Compression end is determined the distribution character of training signal, and safeguards the corresponding relation between the distribution character of the training signal compression parameters corresponding with training signal.For example, utilize compression parameters 1,2 respectively training signal to be compressed, if the decompressed signal of compression parameters 1 correspondence and the difference between the training signal, less than the decompressed signal of compression parameters 2 correspondences and the difference between the training signal, then selecting the compression parameters of training signal correspondence is compression parameters 1, and safeguards the corresponding relation between the distribution character of compression parameters 1 and training signal.
In actual applications, can realize the selection of compression parameters value by the mode of pre-training, for example, at the signal (can be the signal sampling point of the certain-length of periodically selecting) of different distributions characteristic, add up its average and variance, and preserve this average and variance (being distribution character); And adopt different compression parameters values to carry out compression and decompression, calculate the EVM(error vector magnitude between the signal (being training signal and decompressed signal) before and after compressing, be the difference between decompressed signal and the training signal), and select the compression parameters value of EVM minimum value correspondence to use for the signal in the current measurement period, promptly the compression parameters value of EVM minimum value correspondence is the compression parameters of this signal correspondence.
Therefore,, can form signal average and variance and compression parameters and show one to one, behind the distribution character of having added up input signal in the step 201, can utilize the content in this table directly to inquire the pairing compression parameters of this distribution character based on said process.
Mode two:
Compression end is according to predetermined period buffer memory input signal, and respectively the buffer memory input signal compressed by different compression parameters, and utilizes corresponding compression parameters that data are decompressed, and obtains decompressed signal; Compression end is added up the decompressed signal of different compression parameters correspondences and the difference between the buffer memory input signal, and selects the compression parameters of buffer memory input signal correspondence according to statistics; Compression end determines that the compression parameters of buffer memory input signal correspondence is the compression parameters of input signal.
Concrete, at the buffer memory input signal, can adopt different compression parameters values to carry out compression and decompression, calculate the EVM between the signal (being buffer memory input signal and decompressed signal) before and after compressing, and the compression parameters value of selection EVM minimum value correspondence is the compression parameters of this buffer memory input signal correspondence.
For example, behind the compression end buffer memory input signal, utilize compression parameters 1,2 respectively the buffer memory input signal to be compressed, if the decompressed signal of compression parameters 1 correspondence and the difference between the buffer memory input signal, less than the decompressed signal of compression parameters 2 correspondences and the difference between the buffer memory input signal, the compression parameters of then selecting buffer memory input signal correspondence is a compression parameters 1, and determines that this compression parameters 1 is the compression parameters of follow-up input signal.
In actual applications, determine that by the buffer memory input signal process of compression parameters and the process of step 201-203 are separate.For example, when execution in step 201-203, can carry out the process of above-mentioned definite compression parameters.
In the embodiment of the invention, if current also do not have a spendable compression parameters, then can be based on the distribution character of input signal, if the ratio height that large-signal accounts in all signals promptly can be selected little A value or μ value; If the ratio height that small-signal accounts in all signals promptly can be selected big A value or μ value.For example, the variance of and signal less when the average of signal hour then illustrates most ofly in the signal to be small-signal, can select bigger A value or bigger μ value; The variance of and signal big when the average of signal hour then illustrates most ofly in the signal to be large-signal, can select less A value or less μ value; When the variance of signal is big, then can select more moderate A value or more moderate μ value.
In above-mentioned implementation, compression end meeting buffer memory input signal, and the compression parameters of definite buffer memory input signal correspondence are in the process afterwards, if desired follow-up input signal is compressed, then selecting compression parameters is the compression parameters of above-mentioned buffer memory input signal correspondence; Because process of caching be periodically to carry out, and too big variation can not take place in the distribution character of interior input signal of adjacent time, and therefore, the compression parameters of buffer memory input signal correspondence is applicable to follow-up input signal.
Mode three
Based on aforesaid way one and mode two, at first maintenance signal average and variance and compression parameters are shown one to one, adopt the content in mode two his-and-hers watches to adjust afterwards, and determine compression parameters based on adjusted table, and this mode is given unnecessary details no longer in detail.
In the embodiment of the invention, after input signal was compressed, compression end also needed the input signal after the compression is sent to decompressor end.Wherein, compression end is RRU, and decompressor end is BBU; Perhaps, compression end is BBU, and decompressor end is RRU; And between RRU and the BBU Ir interface; Be that compression end also need be at the data of transmission on the Ir interface after this compression (compress input signal after, when transmitting on the Ir interface, be to transmit data).As shown in Figure 3 comprise RRU and BBU schematic diagram.
In the upstream data processing procedure, compression module is in the RRU side, corresponding BBU side has a decompression module, in this case, the operation of above-mentioned steps 201-step 203 can be carried out by the compression module of RRU side, after BBU received corresponding data, the decompression module by the BBU side carried out decompression; In the downlink data processing procedure, compression module is in the BBU side, corresponding RRU side has a decompression module, in this case, the operation of above-mentioned steps 201-step 203 can be carried out by the compression module of BBU side, after RRU received corresponding data, the decompression module by the RRU side carried out decompression.
After RRU utilized compression parameters that input signal is compressed, the transfer of data after RRU will compress by the Ir interface was given BBU, and BBU utilizes compression parameters that the data that receive are decompressed; After BBU utilized compression parameters that input signal is compressed, the transfer of data after BBU will compress by the Ir interface was given RRU, and RRU utilizes compression parameters that the data that receive are decompressed.
Need to prove, for the process that realizes that BBU utilizes compression parameters to decompress and RRU utilizes compression parameters to decompress, in the embodiment of the invention, when the transfer of data after RRU will compress by the Ir interface is given BBU, RRU also needs quantization parameter is sent to BBU, and quantization parameter is used to indicate BBU to obtain compression parameters;
When the transfer of data after BBU will compress by the Ir interface was given RRU, BBU also needed quantization parameter is sent to RRU, and quantization parameter is used to indicate RRU to obtain compression parameters.
In the embodiment of the invention, the transmission means of this quantization parameter includes but not limited to: the CP(Cyclic Prefix that quantization parameter is placed on certain symbol, Cyclic Prefix) transmit starting position (foremost), but the characteristics of concrete transmission cycle coupling system signal and deciding.This transmission means can effectively be transmitted, and can the performance of system not impacted.
In addition, provided two kinds of coded systems of quantization parameter in the embodiment of the invention, be not limited thereto in the practical application, given unnecessary details no longer in detail at this.
Mode one: quantization parameter is the binary numeral of compression parameters correspondence.
Concrete, can directly convert compression parameters to binary numeral, and according to the scope of the actual compression parameters of using, the binary system bit wide after the agreement conversion is N, then the value of compression parameters can be 1～2
N, through being the M bit after the coding, concrete encoding scheme is not limit, and can determine according to the disposal ability that system can support, for example comparatively simply can take repeated encoding.
Mode two: quantization parameter is the index sign corresponding binary numeral of compression parameters in the parameter list of safeguarding in advance.
Concrete, can be according to the characteristic of the signal parameter list of making an appointment, and with compression parameters value record commonly used in parameter list, and this parameter list is stored in compression module and the decompression module simultaneously.Compression module is selected the proper compression parameter value according to the statistical property of signal from parameter list, and the index that writes down current compression parameters value correspondence identifies i, index identified i convert binary system to, and the binary system bit wide after the agreement conversion is N that then selectable number of parameters is 2
N, this index sign is through being the M bit after the coding, concrete encoding scheme is not limit, and can determine according to the disposal ability that system can support, for example comparatively simply can take repeated encoding.
In the embodiment of the invention, the process that obtains compression parameters by quantization parameter is specially: when the quantification parameter is the binary numeral of compression parameters correspondence, directly binary numeral is converted to compression parameters; When the quantification parameter is the binary numeral of index sign correspondence, binary numeral is converted to the index sign, and utilizes the index sign from the parameter list of maintenance in advance, to inquire about compression parameters.
In sum, by the technical scheme that adopts the embodiment of the invention to provide, adopt the mode of self-adaptation nonlinear compression, the characteristic of real-time statistical signal, and adjust corresponding compression parameters, and can under same compression ratio, make performance loss littler, reach more excellent compression performance.In the embodiment of the invention input signal is carried out the adjustment of power or amplitude, make this scheme can support bigger input signal dynamic range, and make that adjusted signal is suitable for quantizing more.
Embodiment two
The embodiment of the invention two provides a kind of data compression method, the real-time training process of the value of compression parameters as shown in Figure 4 (at aforesaid way two) schematic diagram, with current TDD(Time Division Duplexing, time division duplex) system is an example, the real-time training process of the value of compression parameters can be finished (promptly finishing in the crack at one's leisure at data cached processing) by the transceiving idle time slot, for example, the training of the value of up compression parameters is in the RRU side, can utilize idle downlink resource, increase the employed compressor reducer of value of a training compression parameters during promptly up the reception; Utilize idle at this moment descending decompressor to carry out the statistics of EVM afterwards, the training process of the value of compression parameters only carries out at up receiving slot.
In addition, the training of the value of descending compression parameters is in the BBU side, and the training of the value of process and up compression parameters is similar, and just respective process is carried out at descending time slot, does not repeat them here.
As shown in Figure 4, with the example that is treated to of up reception RRU side, compression module A is used for normal compression to be handled, and compression module B is used for the training of parameter A, and decompression module is used for the training of parameter A at ascending time slot, and descending time slot is used for descending decompression.The EVM statistical module is used for the up data that receive and carries out EVM through the data after compressed and decompressed and calculate, and obtains the pairing parameter A value of minimum EVM value.
Embodiment three
The embodiment of the invention three provides a kind of data compression method, is example with the LTE signal, and the input data are 16 bit bit wides, adopts the compression of A rule, is compressed to 7bit, and the detailed process of compression and decompression is as follows:
The pre-training process of emulation:
(1) generates a frame signal according to current configuration, add up its average and variance and be respectively-19.3490 and 4134.9.
(2) it is compressed and decompressed to adopt different A values to carry out, and writes down the EVM between the signal of compressed and decompressed front and back of different A value correspondences, and EVM is as shown in table 1 accordingly.
Table 1
(3) select the A value of EVM minimum, promptly A=9 records in the relevant parameters table, the voltage supply module inquiry use of contracting.
Compression process:
(1) signal is carried out AGC and handle, adjust the amplitude of signal.
(2) data volume of a symbol correspondence of buffer memory, i.e. 2048*16, the average of statistical signal is-19.3490, variance is 4134.9.
(3) search the A value of mating most with the current demand signal characteristic in the parameter list, selecting the A value is 9.
(4) the parameter A value is carried out encoding process, agreement compression parameters bit wide is 7, and the then maximum A value that can support is 128, and then the binary number after the conversion is 0000101, and carrying out after the repeated encoding is 00001010000101.
(5) transmitting foremost of this symbol of placing of the quantified parameter information after will encoding need take the position of preceding 2 7bitCP sampling points.
(6) data based formula (1) afterwards compresses and transmits on the Ir interface.
Formula (1)
Decompression process:
(1) receive parameter information in the position of agreement, the row decoding of going forward side by side judgement, the value that obtains parameter A is 9.
(2) the data based formula (2) in the current period decompresses.
(3) to processing such as the data after decompressing compensate.
Embodiment four
Based on the inventive concept same with said method, a kind of data compression device also is provided in the embodiment of the invention four, as shown in Figure 5, this data compression device comprises:
This data compression device also comprises: adjusting module 14 is used for that described input signal is carried out automatic gain control AGC and adjusts.
Described statistical module 11 specifically is used for the input signal in the buffer memory statistic period T, and adds up the distribution character of the input signal of buffer memory in the described statistic period T.
Described determination module 12 specifically is used for determining described compression parameters by the distribution character of maintenance in advance and the corresponding relation and the described distribution character of compression parameters.
Described determination module 12 specifically is used for according to predetermined period buffer memory input signal, and respectively the buffer memory input signal is compressed by different compression parameters, and utilizes corresponding compression parameters to obtain decompressed signal;
Add up the decompressed signal of different compression parameters correspondences and the difference between the buffer memory input signal, and select the compression parameters of described buffer memory input signal correspondence according to statistics;
The compression parameters of determining described buffer memory input signal correspondence is the compression parameters of described input signal.
In the embodiment of the invention, described distribution character comprises average and variance, and described compression parameters comprises parameter A value or parameter μ value.
Described compression module 13 also is used for the input signal after the compression is sent to decompressor end.
Described data compression device is RF remote unit RRU or baseband processing unit BBU; When described data compression device was RRU, decompressor end was BBU; When described data compression device was BBU, decompressor end was RRU; It between described RRU and the BBU Ir interface; Above-mentioned statistical module 11, determination module 12, compression module 13 and adjusting module 14 are positioned at RRU and BBU, after described RRU utilizes described compression parameters that described input signal is compressed, transfer of data after described RRU will compress by described Ir interface is given described BBU, and described BBU utilizes described compression parameters that the data that receive are decompressed;
After described BBU utilized described compression parameters that described input signal is compressed, the transfer of data after described BBU will compress by described Ir interface was given described RRU, and described RRU utilizes described compression parameters that the data that receive are decompressed.
When the transfer of data after described RRU will compress by described Ir interface was given described BBU, described RRU sent to described BBU with quantization parameter, and described quantization parameter is used to indicate described BBU to obtain described compression parameters;
When the transfer of data after described BBU will compress by described Ir interface was given described RRU, described BBU sent to described RRU with quantization parameter, and described quantization parameter is used to indicate described RRU to obtain described compression parameters.
The transmission means of described quantization parameter comprises: transmit the starting position that described quantization parameter is placed on cyclic prefix CP.
Described quantization parameter comprises: the binary numeral of described compression parameters correspondence; Perhaps, the index sign corresponding binary numeral of described compression parameters in the parameter list of safeguarding in advance.
The process that obtains described compression parameters by described quantization parameter is specially:
When described quantization parameter is the binary numeral of compression parameters correspondence, described binary numeral is converted to described compression parameters;
When described quantization parameter is the binary numeral of index sign correspondence, described binary numeral is converted to described index sign, and utilizes described index sign described compression parameters of inquiry from the parameter list of safeguarding in advance.
Wherein, each module of apparatus of the present invention can be integrated in one, and also can separate deployment.Above-mentioned module can be merged into a module, also can further split into a plurality of submodules.
In sum, by the technical scheme that adopts the embodiment of the invention to provide, adopt the mode of self-adaptation nonlinear compression, the characteristic of real-time statistical signal, and adjust corresponding compression parameters, and can under same compression ratio, make performance loss littler, reach more excellent compression performance.In the embodiment of the invention input signal is carried out the adjustment of power or amplitude, make this scheme can support bigger input signal dynamic range, and make that adjusted signal is suitable for quantizing more.
Through the above description of the embodiments, those skilled in the art can be well understood to the present invention and can realize by the mode that software adds essential general hardware platform, can certainly pass through hardware, but the former is better execution mode under a lot of situation.Based on such understanding, the part that technical scheme of the present invention contributes to prior art in essence in other words can embody with the form of software product, this computer software product is stored in the storage medium, comprise that some instructions are with so that a computer equipment (can be a personal computer, server, the perhaps network equipment etc.) carry out the described method of each embodiment of the present invention.
It will be appreciated by those skilled in the art that accompanying drawing is the schematic diagram of a preferred embodiment, module in the accompanying drawing or flow process might not be that enforcement the present invention is necessary.
It will be appreciated by those skilled in the art that the module in the device among the embodiment can be distributed in the device of embodiment according to the embodiment description, also can carry out respective change and be arranged in the one or more devices that are different from present embodiment.The module of the foregoing description can be merged into a module, also can further split into a plurality of submodules.
The invention described above embodiment sequence number is not represented the quality of embodiment just to description.
More than disclosed only be several specific embodiment of the present invention, still, the present invention is not limited thereto, any those skilled in the art can think variation all should fall into protection scope of the present invention.
Claims (24)
1. a data compression method is characterized in that, comprising:
The distribution character of compression end statistics input signal;
Described compression end is determined compression parameters by described distribution character;
Described compression end utilizes described compression parameters that described input signal is compressed.
2. the method for claim 1 is characterized in that, the distribution character of described compression end statistics input signal also comprises before:
Described compression end is carried out automatic gain control AGC to described input signal and is adjusted.
3. the method for claim 1 is characterized in that, the distribution character of described compression end statistics input signal comprises:
Input signal in the described compression end buffer memory statistic period T, and add up the distribution character of the input signal of buffer memory in the described statistic period T.
4. the method for claim 1 is characterized in that, described compression end is determined compression parameters by described distribution character, comprising:
Described compression end is determined described compression parameters by the distribution character of maintenance in advance and the corresponding relation and the described distribution character of compression parameters.
5. the method for claim 1 is characterized in that, described compression end is determined compression parameters by described distribution character, comprising:
Described compression end is according to predetermined period buffer memory input signal, and respectively the buffer memory input signal compressed by different compression parameters, and utilizes corresponding compression parameters to obtain decompressed signal;
Described compression end is added up the decompressed signal of different compression parameters correspondences and the difference between the buffer memory input signal, and selects the compression parameters of described buffer memory input signal correspondence according to statistics;
Described compression end determines that the compression parameters of described buffer memory input signal correspondence is the compression parameters of described input signal.
6. as each described method of claim 1-5, it is characterized in that described distribution character comprises average and variance, described compression parameters comprises parameter A value or parameter μ value.
7. as each described method of claim 1-5, it is characterized in that described compression end utilizes described compression parameters that described input signal is compressed, and also comprises afterwards:
Input signal after described compression end will be compressed sends to decompressor end.
8. method as claimed in claim 7 is characterized in that, described compression end is RF remote unit RRU, and described decompressor end is baseband processing unit BBU; Perhaps, described compression end is BBU, and described decompressor end is RRU; It between described RRU and the BBU Ir interface;
After described RRU utilized described compression parameters that described input signal is compressed, the transfer of data after described RRU will compress by described Ir interface was given described BBU, and described BBU utilizes described compression parameters that the data that receive are decompressed;
After described BBU utilized described compression parameters that described input signal is compressed, the transfer of data after described BBU will compress by described Ir interface was given described RRU, and described RRU utilizes described compression parameters that the data that receive are decompressed.
9. method as claimed in claim 8 is characterized in that, described method also comprises:
When the transfer of data after described RRU will compress by described Ir interface was given described BBU, described RRU sent to described BBU with quantization parameter, and described quantization parameter is used to indicate described BBU to obtain described compression parameters;
When the transfer of data after described BBU will compress by described Ir interface was given described RRU, described BBU sent to described RRU with quantization parameter, and described quantization parameter is used to indicate described RRU to obtain described compression parameters.
10. method as claimed in claim 9 is characterized in that, the transmission means of described quantization parameter comprises: transmit the starting position that described quantization parameter is placed on cyclic prefix CP.
11. method as claimed in claim 9 is characterized in that, described quantization parameter comprises:
The binary numeral of described compression parameters correspondence; Perhaps, the index sign corresponding binary numeral of described compression parameters in the parameter list of safeguarding in advance.
12. method as claimed in claim 11 is characterized in that, the process that obtains described compression parameters by described quantization parameter is specially:
When described quantization parameter is the binary numeral of compression parameters correspondence, described binary numeral is converted to described compression parameters;
When described quantization parameter is the binary numeral of index sign correspondence, described binary numeral is converted to described index sign, and utilizes described index sign described compression parameters of inquiry from the parameter list of safeguarding in advance.
13. a data compression device is characterized in that, comprising:
Statistical module is used to add up the distribution character of input signal;
Determination module is used for determining compression parameters by described distribution character;
Compression module is used to utilize described compression parameters that described input signal is compressed.
14. equipment as claimed in claim 13 is characterized in that, also comprises:
Adjusting module is used for that described input signal is carried out automatic gain control AGC and adjusts.
15. equipment as claimed in claim 13 is characterized in that,
Described statistical module specifically is used for the input signal in the buffer memory statistic period T, and adds up the distribution character of the input signal of buffer memory in the described statistic period T.
16. equipment as claimed in claim 13 is characterized in that,
Described determination module specifically is used for determining described compression parameters by the distribution character of maintenance in advance and the corresponding relation and the described distribution character of compression parameters.
17. equipment as claimed in claim 13 is characterized in that,
Described determination module specifically is used for according to predetermined period buffer memory input signal, and respectively the buffer memory input signal is compressed by different compression parameters, and utilizes corresponding compression parameters to obtain decompressed signal;
Add up the decompressed signal of different compression parameters correspondences and the difference between the buffer memory input signal, and select the compression parameters of described buffer memory input signal correspondence according to statistics;
The compression parameters of determining described buffer memory input signal correspondence is the compression parameters of described input signal.
18., it is characterized in that described distribution character comprises average and variance as the described equipment of claim 13-17, described compression parameters comprises parameter A value or parameter μ value.
19. as the described equipment of claim 13-17, it is characterized in that,
Described compression module also is used for the input signal after the compression is sent to decompressor end.
20. equipment as claimed in claim 19 is characterized in that, described data compression device is RF remote unit RRU or baseband processing unit BBU; When described data compression device was RRU, decompressor end was BBU; When described data compression device was BBU, decompressor end was RRU; It between described RRU and the BBU Ir interface;
After described RRU utilized described compression parameters that described input signal is compressed, the transfer of data after described RRU will compress by described Ir interface was given described BBU, and described BBU utilizes described compression parameters that the data that receive are decompressed;
After described BBU utilized described compression parameters that described input signal is compressed, the transfer of data after described BBU will compress by described Ir interface was given described RRU, and described RRU utilizes described compression parameters that the data that receive are decompressed.
21. equipment as claimed in claim 20 is characterized in that,
When the transfer of data after described RRU will compress by described Ir interface was given described BBU, described RRU sent to described BBU with quantization parameter, and described quantization parameter is used to indicate described BBU to obtain described compression parameters;
When the transfer of data after described BBU will compress by described Ir interface was given described RRU, described BBU sent to described RRU with quantization parameter, and described quantization parameter is used to indicate described RRU to obtain described compression parameters.
22. equipment as claimed in claim 21 is characterized in that, the transmission means of described quantization parameter comprises: transmit the starting position that described quantization parameter is placed on cyclic prefix CP.
23. equipment as claimed in claim 21 is characterized in that, described quantization parameter comprises:
The binary numeral of described compression parameters correspondence; Perhaps, the index sign corresponding binary numeral of described compression parameters in the parameter list of safeguarding in advance.
24. equipment as claimed in claim 23 is characterized in that, the process that obtains described compression parameters by described quantization parameter is specially:
When described quantization parameter is the binary numeral of compression parameters correspondence, described binary numeral is converted to described compression parameters;
When described quantization parameter is the binary numeral of index sign correspondence, described binary numeral is converted to described index sign, and utilizes described index sign described compression parameters of inquiry from the parameter list of safeguarding in advance.
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