CN111277277B - Method and device for reducing decoding delay of polarization code continuous cancellation table decoding algorithm - Google Patents

Method and device for reducing decoding delay of polarization code continuous cancellation table decoding algorithm Download PDF

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CN111277277B
CN111277277B CN202010288566.4A CN202010288566A CN111277277B CN 111277277 B CN111277277 B CN 111277277B CN 202010288566 A CN202010288566 A CN 202010288566A CN 111277277 B CN111277277 B CN 111277277B
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list
expansion
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CN111277277A (en
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刘星成
彭云龙
杨栋
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Sun Yat Sen University
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    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M13/00Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes
    • H03M13/03Error detection or forward error correction by redundancy in data representation, i.e. code words containing more digits than the source words
    • H03M13/05Error detection or forward error correction by redundancy in data representation, i.e. code words containing more digits than the source words using block codes, i.e. a predetermined number of check bits joined to a predetermined number of information bits
    • H03M13/13Linear codes
    • H03M13/15Cyclic codes, i.e. cyclic shifts of codewords produce other codewords, e.g. codes defined by a generator polynomial, Bose-Chaudhuri-Hocquenghem [BCH] codes
    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M13/00Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes
    • H03M13/63Joint error correction and other techniques
    • H03M13/6337Error control coding in combination with channel estimation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Abstract

The invention provides a method and a device for reducing decoding delay of a polarization code continuous cancellation table decoding algorithm, and the method and the device relate to the field of communication, wherein the method comprises the following steps: acquiring a decoding key set according to the code length and code rate of a code word to be decoded and the signal-to-noise ratio, initializing a deletion threshold value, and determining bit positions for CRC (cyclic redundancy check) in advance; using the decoding key set to assist in judging whether the path in the SCL decoding algorithm should be subjected to path expansion or not; and deleting the SCL additional paths by using a deletion threshold value. The SCL serial decoding delay and the calculation complexity are reduced, and meanwhile, the problem that the SCL serial decoding delay and the calculation complexity are subjected to larger error correction performance loss is solved.

Description

Method and device for reducing decoding delay of polarization code continuous cancellation table decoding algorithm
Technical Field
The present invention relates to the field of communications, and in particular, to a method and apparatus for reducing decoding delay of a polar code continuous cancellation table decoding algorithm.
Background
The channel coding technology, also called error correction code technology, adds redundant information related to the original data at the transmitting end, and the receiving end detects and corrects errors generated in the transmission process according to the correlation, so that the undistorted data transmission is realized. Polar codes (Polar codes) were proposed as a new error correction Code technology by turkish teachings e.arikan in 2008, and the redundant bit information added thereto is called frozen bits. Compared with other types of code words, the biggest characteristic of the polarization code is that the error correction performance can reach the shannon limit through being proved in mathematics. Arikan demonstrates that shannon capacity transmission can be achieved using the SC decoding algorithm described above with an infinite code length N. However, in practical situations, the code length is limited, and the error correction performance obtained by the SC decoding algorithm is not satisfactory.
To improve the error correction performance of SC decoding algorithms under limited code length conditions, tal et al propose successive cancellation List (SC-List, SCL) decoding algorithms. In contrast to the SC decoding algorithm, the SCL decoding algorithm does not directly decide the calculated probability values as 0 and 1, but instead keeps two possibilities of 0 and 1 and calculates the respective subsequent probability values along these two possibilities, the subsequent expansion times of which are determined by the list length of the path list. The entire decoding process may be represented by a binary tree.
Although the performance of the SCL decoding algorithm is very excellent, due to the characteristic of SCL serial decoding and the high decoding computational complexity O (lnlog), a large decoding delay is generated when the SCL decoding algorithm is used to decode the polar code. In order to reduce the decoding delay generated by the algorithm and enable the decoding delay to meet the requirement of high reliability of 5G low delay, one idea for reducing the computational complexity is to reduce the size of a path number threshold (L), namely, modify the binary tree. However, in the existing technology for reducing the complexity of SCL decoding, many methods for reducing the complexity of computation are proposed, but a large error correction performance loss is often caused.
Disclosure of Invention
The invention aims to overcome the problems in the prior art, and provides a method and a device for reducing decoding delay of a polarization code continuous cancellation table decoding algorithm, which solve the problem that SCL serial decoding delay and calculation complexity are reduced and simultaneously larger error correction performance loss is caused.
A method of reducing decoding delay of a polar-code successive cancellation table decoding algorithm, the method comprising:
s0: acquiring a decoding key set corresponding to a codeword to be decoded from the codeword to be decoded in advance;
s1: performing CRC (cyclic redundancy check) position in advance according to the decoding key set confirmation;
s2: calculating a probability value of 0 or 1 of bit data of each bit position in a decoding key set according to channel conditions, establishing a path list based on the probability value and an SCL decoding algorithm, selecting a first bit position contained in the decoding key set as a current decoding bit position, and starting to execute SCL decoding from the bit position;
s3: comparing the average log likelihood ratio value of the paths contained in the path list with a path expansion threshold value to judge whether the current decoding bit position needs to be subjected to path expansion or not: if the average log likelihood ratio of the paths contained in the path list is smaller than the path expansion threshold, performing path expansion on the current decoding bit position, and doubling the size of the path list at the moment; if the average log likelihood ratio of the paths contained in the path list is greater than or equal to the path expansion threshold, the path expansion is not carried out on the current decoding bit position, and the size of the path list is unchanged;
s4: after updating the path list is completed through the judgment of the path expansion, further judging whether the paths in the path list need to be deleted, specifically: each path in the path list is provided with a path metric value corresponding to the path per se, the path metric value is used for representing the possibility that the path is a correct path, the path metric value corresponding to each path in the path list is calculated through the probability value and is compared with a deletion threshold value one by one, if the path is larger than the deletion threshold value, the path is deleted, and if the path is smaller than or equal to the deletion threshold value, the path is reserved;
s5: updating the path list according to the judging result of judging whether the path is deleted or not, and updating the deleting threshold value according to the updated path list;
s6: after finishing updating the deletion threshold, judging whether the current position is a position for CRC check in advance, if not, selecting the next bit position as the current decoding bit position and returning to the execution step S3 to continue SCL decoding; if yes, performing CRC (cyclic redundancy check) on all paths in the path list, reducing the paths in the path list to 1 path result based on the result of the CRC, outputting, stopping SCL (SCL code) decoding, and not returning to execute step S3;
s7: SC decoding is carried out on bit positions which are remained in the code word to be decoded and are not decoded based on the output path result;
wherein the decoding key set comprises bit positions of part or all bits in the codeword to be decoded and the set of bit positions is a continuous set of bits starting from a first bit position of the codeword to be decoded to a position where a CRC check is performed in advance.
The invention discloses a method for reducing decoding delay of a continuous cancellation table decoding algorithm of a polarization code, which aims to reduce the complexity and the calculated amount of decoding while ensuring the decoding performance of an SCL decoding algorithm. In the initial stage of decoding, firstly, the decoding key set of the data to be decoded is obtained, because for the polarization code to be decoded, not every bit is necessarily decoded by using an SCL decoding algorithm, for the bit positions except for the bit positions corresponding to the decoding key set, the SC decoding algorithm can be used for decoding the data, and the decoding result and effect are basically the same as those of the SCL decoding algorithm, so that the SC decoding algorithm can be used for decoding the bit, therefore, the distinguishing of the part of the data to be decoded and the part corresponding to the decoding key set in the technical scheme of the invention can ensure that the complexity of the decoding calculation whole is reduced, and meanwhile, the effectiveness of the decoding result can be still ensured. In the step of decoding the decoding key set, different from the prior art, the method of the invention judges and selects the path expansion, and aims to avoid the problem of too high complexity of the path list caused by repeated expansion of the path. After the expansion selection of the path list is completed, the method of the invention also executes path deletion on the path list, and because the path list usually comprises more expansion paths after the path expansion, the complexity of the path list is higher, and therefore, some paths need to be deleted to reduce the complexity of the path list. In summary, the method of the present invention makes the final complexity of the decoding result far lower than that of the prior art by distinguishing the means of decoding key set, path expansion selection and path deletion under the condition of decoding by using the SCL decoding algorithm, and simultaneously ensures the effectiveness of the decoding result.
Preferably, the step S5 specifically includes:
s5: after updating a path list based on a judging result of path deletion, judging whether a maximum path metric value in the path list is smaller than a deletion threshold value, if so, updating the maximum path metric value into a new deletion threshold value; if not, the deletion threshold is unchanged.
Preferably, the specific calculation mode of the path expansion threshold value is as follows:
Figure BDA0002449503250000031
wherein ,θsplit Is a path extension threshold value for determining whether the path should be path extended,
Figure BDA0002449503250000032
is the minimum expected value of log-likelihood ratio obtained by using Gaussian approximation method for polarization code, i represents index of bit channel,>
Figure BDA0002449503250000033
a set of information bit indices, θ, representing codewords to be decoded f Represents a fixed threshold, N represents a code length, and a fixed threshold θ f The value of (2) is preset; />
Figure BDA0002449503250000034
The minimum information bit LLR mean value calculated by Gaussian approximation is represented, and the calculation process is as follows:
Figure BDA0002449503250000035
Figure BDA0002449503250000036
wherein, the channel indexes 2i and 2i-1 are used for distinguishing the odd-even channel indexes, the value ranges from 1 to N,
Figure BDA0002449503250000041
is a recursive process, the initialization condition of the recursion is that
Figure BDA0002449503250000042
Mu represents the noise mean of the transmitted white gaussian noise channel,/->
Figure BDA0002449503250000043
The function is expressed as follows:
Figure BDA0002449503250000044
calculated 1 to N bits each
Figure BDA0002449503250000045
Then, based on the information bit set +.>
Figure BDA00024495032500000419
Indicated channel index value find set +.>
Figure BDA0002449503250000046
Minimum->
Figure BDA0002449503250000047
It is marked as +.>
Figure BDA0002449503250000048
Preferably, the specific calculation mode of the average log likelihood ratio value of the paths contained in the path list is as follows:
averaging of all paths
Figure BDA0002449503250000049
wherein ,
Figure BDA00024495032500000410
and->
Figure BDA00024495032500000411
Representing the path corresponding to the path index lThe diameter is u i The probability of extending to 0 and the probability of extending to 1 when the path extension is performed. />
Figure BDA00024495032500000412
Representation list +.>
Figure BDA00024495032500000413
Is of a size of (a) and (b). Wherein the LLR values for a single path are defined as follows:
path l
Figure BDA00024495032500000414
Preferably, the step S0 specifically includes:
s001: acquiring a decoding key set corresponding to a codeword to be decoded in advance according to the codeword to be decoded, the code length, the code rate and the signal-to-noise ratio of an actual channel
Wherein the decoding key set includes all information bit positions with worse channel condition in the data to be decoded and stores the index values corresponding to the information bit positions, and the bit positions with worse channel condition are in the information bit set
Figure BDA00024495032500000420
In, first calculate +.>
Figure BDA00024495032500000421
LLR mean value of individual information bits +.>
Figure BDA00024495032500000415
The smallest ω are selected and the corresponding ω channel index values are considered to be the bit positions with worse channel conditions. Where ω is equal in size to the size of the canonical set. The typical set is constructed before the decoding key set is obtained, and then the value of omega is determined according to the size of the obtained typical set. Construction of a canonical set can be referred to in literature-1]Zhaoyang Zhang,Kangjian Qin,Liang Zhang,Huazi Zhang,Guo Tai Chen,"Progressive Bit-Flipping Decoding of Polar Codes over Layered Critical Sets,"IEEE Global Communications Conference(GLOBECOM 2017),Singapore,Singapore,4-8Dec.2017.
An apparatus for reducing polar-code successive cancellation table coding algorithm coding delay, the apparatus comprising: a key set generator, an SCL decoder and an SC decoder;
the key set generator is used for generating a decoding key set in advance according to the code word to be decoded, the code length and the code rate of the code word and the signal-to-noise ratio of an actual channel;
the SCL decoder is used for executing an SCL decoding algorithm to decode the decoding key set;
the SC decoder executes an SC decoding algorithm according to the decoding result of the SCL decoder to finish decoding the code word to be decoded;
wherein, the SCL decoder comprises a probability calculation unit, a list generation unit, an initialization unit and a cyclic decoding unit:
the probability calculation unit is used for calculating the probability value that the bit data of each bit position corresponding to the decoding key set is 0 or 1 according to the channel condition and recording the probability value as an expansion probability value;
the list generation unit is used for generating a path list for generating a decoding key set according to the corresponding expansion probability value;
the initialization unit is used for initializing the deletion threshold after the list generation unit generates the path list;
and the cyclic decoding unit is used for executing SCL decoding to decode the decoding key set after initializing the deletion threshold value.
Preferably, the cyclic decoding unit includes a selecting unit, an extension selecting unit, a list updating unit, a path deleting unit, and a cyclic unit:
the selecting unit is used for selecting a target position for decoding from the decoding key set as a current bit position;
the expansion selection unit is used for carrying out expansion selection on the current bit position based on the expansion probability value on the current bit position;
the list updating unit is used for updating the path list according to the expansion selection result of the expansion selection unit;
the path deleting unit is used for executing path deletion on the path list updated by the list updating unit through the deletion threshold value and updating the deletion threshold value;
and the circulation unit is used for recalling the selection unit, the expansion selection unit, the list updating unit and the path deleting unit to decode the decoding key set after the path deleting unit executes path deletion until the decoding of the decoding key set is completed.
Preferably, the expansion selecting unit includes a threshold unit, an expansion judging unit:
the threshold unit determines or updates a path expansion threshold according to the signal-to-noise ratio information of the current bit position and the code word corresponding to the path list, and the specific calculation mode is as follows:
Figure BDA0002449503250000051
wherein ,θsplit Is a path extension threshold value for determining whether the path should be path extended,
Figure BDA0002449503250000052
is the minimum expected value of log-likelihood ratio obtained by using Gaussian approximation method for polarization code, i represents index of bit channel,>
Figure BDA0002449503250000054
a set of information bit indices, θ, representing codewords to be decoded f Represents a fixed threshold, N represents a code length, and a fixed threshold θ f The value of (2) is preset; />
Figure BDA0002449503250000053
The minimum information bit LLR mean value calculated by Gaussian approximation is represented, and the calculation process is as follows:
Figure BDA0002449503250000061
Figure BDA0002449503250000062
wherein, the channel indexes 2i and 2i-1 are used for distinguishing the odd-even channel indexes, the value ranges from 1 to N,
Figure BDA0002449503250000063
is a recursive process, the initialization condition of the recursion is that
Figure BDA0002449503250000064
Mu represents the noise mean of the transmitted white gaussian noise channel,/->
Figure BDA0002449503250000065
The function is expressed as follows:
Figure BDA0002449503250000066
calculated 1 to N bits each
Figure BDA0002449503250000067
Then, based on the information bit set +.>
Figure BDA00024495032500000613
Indicated channel index value find set +.>
Figure BDA00024495032500000614
Minimum->
Figure BDA0002449503250000068
It is marked as +.>
Figure BDA0002449503250000069
The judging unit calculates average LLR values of all paths in the path list and judges whether to execute path expansion at the current bit position by combining the path expansion threshold value, specifically:
averaging of all paths
Figure BDA00024495032500000610
Performing path expansion at the currently selected bit position when the average LLR value of all paths is less than the path expansion threshold; otherwise, no path extension is performed at the current selected bit position and a direct decision is made on the path of the current selected bit position.
Compared with the prior art, the invention has the following advantages and effective effects:
for the defects of some means for reducing SCL decoding results in the prior art, the invention reduces the complexity degree by performing expansion selection and path deletion scheme on the path list, and avoids the delay problem caused by the excessive complexity of the path list.
On the premise of reducing the complexity of the decoding result of the SCL decoding algorithm by using the modes of expansion selection and path deletion, the invention also provides that the expansion selection and path deletion are regulated by using a dynamic threshold value, if only a fixed threshold value is used for regulation, the problem of higher complexity still exists in the practical application if larger decoding performance loss or path list is possibly faced, and the effectiveness of the method under different conditions can be ensured according to the dynamic threshold value designed according to related variables and the calculation mode thereof.
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FIG. 1 is a flow chart of the method of the present invention.
Fig. 2 is a frame diagram of the device according to the invention.
Fig. 3 is a schematic diagram of a simulation of the embodiment of the present invention.
FIG. 4 is a graph showing a comparison of simulation results according to the embodiment of the present invention.
Detailed Description
The drawings are for illustrative purposes only and are not to be construed as limiting the invention. For better illustration of the following embodiments, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the actual product dimensions; it will be appreciated by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
Example 1
As shown in fig. 1, the present embodiment provides a method for reducing decoding delay of a polar-code successive cancellation table decoding algorithm, where the method includes:
s0: acquiring a decoding key set corresponding to a codeword to be decoded from the codeword to be decoded in advance;
s1: performing CRC (cyclic redundancy check) position in advance according to the decoding key set confirmation;
s2: calculating a probability value of 0 or 1 of bit data of each bit position in a decoding key set according to channel conditions, establishing a path list based on the probability value and an SCL decoding algorithm, selecting a first bit position contained in the decoding key set as a current decoding bit position, and starting to execute SCL decoding from the bit position;
s3: comparing the average log likelihood ratio value of the paths contained in the path list with a path expansion threshold value to judge whether the current decoding bit position needs to be subjected to path expansion or not: if the average log likelihood ratio of the paths contained in the path list is smaller than the path expansion threshold, performing path expansion on the current decoding bit position, and doubling the size of the path list at the moment; if the average log likelihood ratio of the paths contained in the path list is greater than or equal to the path expansion threshold, the path expansion is not carried out on the current decoding bit position, and the size of the path list is unchanged;
s4: after updating the path list is completed through the judgment of the path expansion, further judging whether the paths in the path list need to be deleted, specifically: each path in the path list is provided with a corresponding path metric value which is used for indicating the possibility that the path is a correct path, the path metric value corresponding to each path in the path list is calculated through the probability value and is compared with a deletion threshold value one by one, if the path is larger than the deletion threshold value, the path is deleted, and if the path is smaller than or equal to the deletion threshold value, the path is reserved, wherein the value of the deletion threshold value is initialized to a preset value before decoding the decoding key set;
s5: updating the path list according to the judging result of judging whether the path is deleted or not, and updating the deleting threshold value according to the updated path list;
s6: after finishing updating the deletion threshold, judging whether the current position is a position for CRC check in advance, if not, selecting the next bit position as the current decoding bit position and returning to the execution step S3 to continue SCL decoding; if yes, performing CRC (cyclic redundancy check) on all paths in the path list, reducing the paths in the path list to 1 path result based on the result of the CRC, outputting, stopping SCL (SCL code) decoding, and not returning to execute step S3;
s7: SC decoding is carried out on bit positions which are remained in the code word to be decoded and are not decoded based on the output path result;
wherein the decoding key set comprises bit positions of part or all bits in the codeword to be decoded and the set of bit positions is a continuous set of bits starting from a first bit position of the codeword to be decoded to a position where a CRC check is performed in advance.
The invention discloses a method for reducing decoding delay of a continuous cancellation table decoding algorithm of a polarization code, which aims to reduce the complexity and the calculated amount of decoding while ensuring the decoding performance of an SCL decoding algorithm. In the initial stage of decoding, firstly, the decoding key set of the data to be decoded is obtained, because for the polarization code to be decoded, not every bit is necessarily decoded by using an SCL decoding algorithm, for the bit positions except for the bit positions corresponding to the decoding key set, the SC decoding algorithm can be used for decoding the data, and the decoding result and effect are basically the same as those of the SCL decoding algorithm, so that the SC decoding algorithm can be used for decoding the bit, therefore, the distinguishing of the part of the data to be decoded and the part corresponding to the decoding key set in the technical scheme of the invention can ensure that the complexity of the decoding calculation whole is reduced, and meanwhile, the effectiveness of the decoding result can be still ensured. In the step of decoding the decoding key set, different from the prior art, the method of the invention judges and selects the path expansion, and aims to avoid the problem of too high complexity of the path list caused by repeated expansion of the path. After the expansion selection of the path list is completed, the method of the invention also executes path deletion on the path list, and because the path list usually comprises more expansion paths after the path expansion, the complexity of the path list is higher, and therefore, some paths need to be deleted to reduce the complexity of the path list. In summary, the method of the present invention makes the final complexity of the decoding result far lower than that of the prior art by distinguishing the means of decoding key set, path expansion selection and path deletion under the condition of decoding by using the SCL decoding algorithm, and simultaneously ensures the effectiveness of the decoding result.
On the other hand, because the polarization code is established on the phenomenon of channel polarization, when decoding the bit position with the sequence number behind, the SC decoding is directly carried out on the bits, so that the computational complexity can be effectively reduced without affecting the performance. Therefore, compared with the traditional polarized code SCL decoding algorithm, the decoding algorithm provided by the patent does not check the CRC code when decoding the last bit, but checks the CRC code in advance after a certain bit, and then selects a path which can pass the CRC check to be decoded to the end by adopting the SC decoding algorithm, so that the expansion, sequencing and deleting operations of a part of paths are avoided, and the computational complexity is reduced.
In an alternative embodiment, the step S5 specifically includes:
s5: after updating a path list based on a judging result of path deletion, judging whether a maximum path metric value in the path list is smaller than a deletion threshold value, if so, updating the maximum path metric value into a new deletion threshold value; if not, the deletion threshold is unchanged.
Preferably, the specific calculation mode of the path expansion threshold value is as follows:
Figure BDA0002449503250000091
wherein ,θsplit Is a path extension threshold value for determining whether the path should be path extended,
Figure BDA0002449503250000092
is the minimum expected value of log-likelihood ratio obtained by using Gaussian approximation method for polarization code, i represents index of bit channel,>
Figure BDA00024495032500000919
a set of information bit indices, θ, representing codewords to be decoded f Represents a fixed threshold, N represents a code length, and a fixed threshold θ f The value of (2) is preset; />
Figure BDA0002449503250000093
The minimum information bit LLR mean value calculated by Gaussian approximation is represented, and the calculation process is as follows:
Figure BDA0002449503250000094
Figure BDA0002449503250000095
wherein, the channel indexes 2i and 2i-1 are used for distinguishing the odd-even channel indexes, the value ranges from 1 to N,
Figure BDA0002449503250000096
is a recursive process, deliveringThe initialization condition of the Chinese angelica is that
Figure BDA0002449503250000097
Mu represents the noise mean of the transmitted white gaussian noise channel,/->
Figure BDA0002449503250000098
The function is expressed as follows:
Figure BDA0002449503250000099
calculated 1 to N bits each
Figure BDA00024495032500000910
Then, based on the information bit set +.>
Figure BDA00024495032500000920
Indicated channel index value find set +.>
Figure BDA00024495032500000921
Minimum->
Figure BDA00024495032500000911
It is marked as +.>
Figure BDA00024495032500000912
In an alternative embodiment, the specific calculation mode of the path expansion threshold value is as follows:
Figure BDA00024495032500000913
wherein ,θsplit Is a path extension threshold value for determining whether the path should be path extended,
Figure BDA00024495032500000914
is the logarithm obtained by using Gaussian approximation method for polarization codeThe minimum expected value of the likelihood ratio, i represents the index of the bit channel, +.>
Figure BDA00024495032500000922
A set of information bit indices, θ, representing codewords to be decoded f Represents a fixed threshold, N represents a code length, and a fixed threshold θ f The value of (2) is preset; />
Figure BDA0002449503250000101
The minimum information bit LLR mean value calculated by Gaussian approximation is represented, and the calculation process is as follows:
Figure BDA0002449503250000102
Figure BDA0002449503250000103
wherein, the channel indexes 2i and 2i-1 are used for distinguishing the odd-even channel indexes, the value ranges from 1 to N,
Figure BDA0002449503250000104
is a recursive process, the initialization condition of the recursion is that
Figure BDA0002449503250000105
Mu represents the noise mean of the transmitted white gaussian noise channel,/->
Figure BDA0002449503250000106
The function is expressed as follows:
Figure BDA0002449503250000107
calculated 1 to N bits each
Figure BDA0002449503250000108
Then, based on the information bit set +.>
Figure BDA00024495032500001022
Indicated channel index value find set +.>
Figure BDA00024495032500001023
Minimum->
Figure BDA0002449503250000109
It is marked as +.>
Figure BDA00024495032500001010
In an alternative embodiment, the specific calculation method of the average log likelihood ratio value of the paths contained in the path list is as follows:
averaging of all paths
Figure BDA00024495032500001011
wherein ,
Figure BDA00024495032500001012
and->
Figure BDA00024495032500001013
Indicating that the path corresponding to the path index l is at u i The probability of extending to 0 and the probability of extending to 1 when the path extension is performed. />
Figure BDA00024495032500001014
Representation list +.>
Figure BDA00024495032500001017
Is of a size of (a) and (b). Wherein the LLR values for a single path are defined as follows:
path l
Figure BDA00024495032500001015
In an alternative embodiment, the step S0 specifically includes:
s001: acquiring a decoding key set corresponding to a codeword to be decoded in advance according to the codeword to be decoded, the code length, the code rate and the signal-to-noise ratio of an actual channel;
wherein the decoding key set includes all information bit positions with worse channel condition in the data to be decoded and stores the index values corresponding to the information bit positions, and the bit positions with worse channel condition are in the information bit set
Figure BDA00024495032500001024
In, first calculate +.>
Figure BDA00024495032500001025
LLR mean value of individual information bits +.>
Figure BDA00024495032500001016
The smallest ω are selected and the corresponding ω channel index values are considered to be the bit positions with worse channel conditions. Where ω is equal in size to the size of the canonical set. The typical set is constructed before the decoding key set is obtained, and then the value of omega is determined according to the size of the obtained typical set. Construction of a canonical set can be referred to [1 ]]。
Example 2
On the basis of the first embodiment, the invention also provides a device for reducing decoding delay of a polarization code continuous cancellation table decoding algorithm, which comprises: a key set generator, an SCL decoder and an SC decoder;
the key set generator is used for generating a decoding key set in advance according to the code word to be decoded, the code length and the code rate of the code word and the signal-to-noise ratio of an actual channel;
the SCL decoder is used for executing an SCL decoding algorithm to decode the decoding key set;
the SC decoder executes an SC decoding algorithm according to the decoding result of the SCL decoder to finish decoding the code word to be decoded;
wherein, the SCL decoder comprises a probability calculation unit, a list generation unit, an initialization unit and a cyclic decoding unit:
the probability calculation unit is used for calculating the probability value that the bit data of each bit position corresponding to the decoding key set is 0 or 1 according to the channel condition and recording the probability value as an expansion probability value;
the list generation unit is used for generating a path list for generating a decoding key set according to the corresponding expansion probability value;
the initialization unit is used for initializing the deletion threshold after the list generation unit generates the path list;
and the cyclic decoding unit is used for executing SCL decoding to decode the decoding key set after initializing the deletion threshold value.
Preferably, the cyclic decoding unit includes a selecting unit, an extension selecting unit, a list updating unit, a path deleting unit, and a cyclic unit:
the selecting unit is used for selecting a target position for decoding from the decoding key set as a current bit position;
the expansion selection unit is used for carrying out expansion selection on the current bit position based on the expansion probability value on the current bit position;
the list updating unit is used for updating the path list according to the expansion selection result of the expansion selection unit;
the path deleting unit is used for executing path deletion on the path list updated by the list updating unit through the deletion threshold value and updating the deletion threshold value;
and the circulation unit is used for recalling the selection unit, the expansion selection unit, the list updating unit and the path deleting unit to decode the decoding key set after the path deleting unit executes path deletion until the decoding of the decoding key set is completed.
Preferably, the expansion selecting unit includes a threshold unit, an expansion judging unit:
the threshold unit determines or updates a path expansion threshold according to the signal-to-noise ratio information of the current bit position and the code word corresponding to the path list, and the specific calculation mode is as follows:
Figure BDA0002449503250000111
wherein ,θsplit Is a path extension threshold value for determining whether the path should be path extended,
Figure BDA0002449503250000121
is the minimum expected value of log-likelihood ratio obtained by using Gaussian approximation method for polarization code, i represents index of bit channel,>
Figure BDA00024495032500001217
a set of information bit indices, θ, representing codewords to be decoded f Represents a fixed threshold, N represents a code length, and a fixed threshold θ f The value of (2) is preset; />
Figure BDA0002449503250000122
The minimum information bit LLR mean value calculated by Gaussian approximation is represented, and the calculation process is as follows:
Figure BDA0002449503250000123
Figure BDA0002449503250000124
wherein, the channel indexes 2i and 2i-1 are used for distinguishing the odd-even channel indexes, the value ranges from 1 to N,
Figure BDA0002449503250000125
is a recursive process, the initialization condition of the recursion is that
Figure BDA0002449503250000126
Mu represents the noise mean of the transmitted white gaussian noise channel,/->
Figure BDA0002449503250000127
The function is expressed as follows:
Figure BDA0002449503250000128
calculated 1 to N bits each
Figure BDA0002449503250000129
Then, based on the information bit set +.>
Figure BDA00024495032500001218
Indicated channel index value find set +.>
Figure BDA00024495032500001219
Minimum->
Figure BDA00024495032500001210
It is marked as +.>
Figure BDA00024495032500001211
The judging unit calculates average LLR values of all paths in the path list and judges whether to execute path expansion at the current bit position by combining the path expansion threshold value, specifically:
averaging of all paths
Figure BDA00024495032500001212
Performing path expansion at the currently selected bit position when the average LLR value of all paths is less than the path expansion threshold; otherwise, no path extension is performed at the current selected bit position and a direct decision is made on the path of the current selected bit position.
Example 3
As shown in fig. 3, taking the example of decoding the CRC check code or taking the CA-SCL decoding scenario as an example, in order to verify the improvement made in the present invention for the computational complexity of the SCL decoding algorithm, a simulation experiment was performed. Experimental conditions differ in AWGN channelSignal to noise ratio E b /N 0 Is carried out under the condition that the adopted modulation mode is BPSK modulation. To evaluate the effectiveness of the algorithm, we use Block Error Rate (BLER) to measure the Error correction performance of the decoding and average active path number (Average Numberof Alive Paths) to measure the computational complexity.
In the initial stage of decoding, a decoding key set under the corresponding condition is constructed according to the given code length and the AWGN channel condition
Figure BDA00024495032500001213
The set contains more than 99% of index values with poorer channel conditions;
then, performing SCL decoding algorithm to decode, and initializing the deletion threshold value to be 1;
in the decoding stage, firstly, calculating the probability value that the bit data of each bit position corresponding to the decoding key set is 0 or 1 and recording the probability value as an expansion probability value;
secondly, generating a path list for SCL decoding, specifically: generating a path list of the decoding key set based on the corresponding expansion probability value, wherein the path list can be represented by a binary tree as shown in fig. 3 under the condition that the list size is l=2;
then, calculating a path expansion threshold value and minimum information bits to perform path expansion:
Figure BDA0002449503250000131
wherein ,θsplit Representing the path expansion threshold given by this patent, its value is equal to the minimum information bit LLR mean value calculated by Gaussian approximation
Figure BDA0002449503250000132
Adding a fixed threshold value theta f Fixed threshold value theta f The value of (2) is preset;
Figure BDA0002449503250000133
representation using GaussianThe minimum information bit LLR mean value calculated approximately is calculated as follows:
Figure BDA0002449503250000134
Figure BDA0002449503250000135
wherein, the channel indexes 2i and 2i-1 are used for distinguishing the odd-even channel indexes, the value ranges from 1 to N,
Figure BDA0002449503250000136
is a recursive process, the initialization condition of the recursion is that
Figure BDA0002449503250000137
Mu represents the noise mean of the transmitted white gaussian noise channel,/->
Figure BDA0002449503250000138
The function is expressed as follows:
Figure BDA0002449503250000139
calculated 1 to N bits each
Figure BDA00024495032500001310
Then, based on the information bit set +.>
Figure BDA00024495032500001319
Indicated channel index value find set +.>
Figure BDA00024495032500001320
Minimum->
Figure BDA00024495032500001311
It is subjected toMarked as->
Figure BDA00024495032500001312
In this way, the threshold value is enabled to change over time as the codeword and signal-to-noise ratio change. At the same time give the empirical parameter theta f And adjusting. After determining the extended threshold, during SCL decoding algorithm of the polar code, if the list is set
Figure BDA00024495032500001321
The average LLR value of all paths in (a) is lower than a given path expansion threshold, i.e. +.>
Figure BDA00024495032500001313
All paths in the SCL decoding algorithm are extended at that bit position, otherwise decisions are made directly.
Although path selective expansion can slow down path list collection
Figure BDA00024495032500001322
Grow too fast but when the list size +.>
Figure BDA00024495032500001323
When a given size L is reached, the path-selective expansion operation cannot significantly reduce the computational complexity. To further reduce the computational complexity of the SCL decoding algorithm, it is also necessary to remove unnecessary paths. And literature [3]The proposed path deletion strategies are different, the patent fully considers the influence of path deletion on decoding performance, and proposes a method for reducing irrelevant paths to the greatest extent under the condition of not changing the decoding performance of a polarization code SCL.
After ending the path expansion, the list set is recorded
Figure BDA0002449503250000149
The metric value of each path in (a) is
Figure BDA0002449503250000141
Wherein the probability of the hypothetical path satisfies
Figure BDA0002449503250000142
The metric value may be understood as the distance of the probability of the first path from the most probable path in the current list of bit positions. The present invention proposes the metric value to determine if the path l should be deleted, when +.>
Figure BDA0002449503250000143
When the path l is considered to deviate from the maximum probability path too far, the probability that the path l is a correct path is considered to be very low, and the path l can be deleted at this time and the original performance of the polar code SCL decoding algorithm is not affected.
At the same time, in order to determine the threshold value theta at different code length signal to noise ratios del The invention also provides a dynamic threshold strategy, maintains a dynamic threshold variable, and deletes the threshold theta del The value is initialized to 1 at the beginning of decoding, and when pruning operation is finished, if the maximum path metric value of the paths contained in the path list
Figure BDA0002449503250000144
If still smaller than theta del Will be theta del Updated to
Figure BDA0002449503250000145
The aim is to ensure theta del Is minimal and reasonable throughout the decoding process.
After decoding of the decoded key set is completed, the channel conditions behind it are considered to be very good
Figure BDA0002449503250000146
Thereafter->
Figure BDA0002449503250000147
The SC decoding algorithm is adopted to decode, and the performance of the SC decoding algorithm is not different from that of the SCL decoding algorithm. So that finally,when the SCL decoding algorithm is translated to +.>
Figure BDA0002449503250000148
And (3) performing CRC check in advance.
Fig. 4 shows the error correction performance under different algorithms. The parameters of the experiment select (512, 256) code words and (256, 128) code words to perform the experiment, and the original SCL decoding algorithm of the polarization codes, the path expansion strategy based on the fixed path expansion threshold value and the improved path expansion strategy (Improved Path Splitting Strategy, IPSS) provided by the patent are respectively compared, wherein the IPSS adopts three operations mentioned by the patent to modify the SCL binary tree. Experimental results show that decoding by adopting the scheme finally has no much loss in error correction performance because each operation considers the relative position of the correct path in the binary tree.
It should be understood that the foregoing examples of the present invention are provided for the purpose of clearly illustrating the technical aspects of the present invention and are not intended to limit the specific embodiments of the present invention. Any modification, equivalent replacement, improvement, etc. that comes within the spirit and principle of the claims of the present invention should be included in the protection scope of the claims of the present invention.

Claims (7)

1. A method for reducing decoding delay of a polar-code successive cancellation table decoding algorithm, the method comprising:
s0: acquiring a decoding key set corresponding to a codeword to be decoded from the codeword to be decoded in advance;
s1: performing CRC (cyclic redundancy check) position in advance according to the decoding key set confirmation;
s2: calculating a probability value of 0 or 1 of bit data of each bit position in a decoding key set according to channel conditions, establishing a path list based on the probability value and an SCL decoding algorithm, selecting a first bit position contained in the decoding key set as a current decoding bit position, and starting to execute SCL decoding from the bit position;
s3: comparing the average log likelihood ratio value of the paths contained in the path list with a path expansion threshold value to judge whether the current decoding bit position needs to be subjected to path expansion or not: if the average log likelihood ratio of the paths contained in the path list is smaller than the path expansion threshold, performing path expansion on the current decoding bit position, and doubling the size of the path list at the moment; if the average log likelihood ratio of the paths contained in the path list is greater than or equal to the path expansion threshold, the path expansion is not carried out on the current decoding bit position, and the size of the path list is unchanged;
s4: after updating the path list is completed through the judgment of the path expansion, further judging whether the paths in the path list need to be deleted, specifically: each path in the path list is provided with a path metric value corresponding to the path per se, the path metric value is used for representing the possibility that the path is a correct path, the path metric value corresponding to each path in the path list is calculated through the probability value and is compared with a deletion threshold value one by one, if the path is larger than the deletion threshold value, the path is deleted, and if the path is smaller than or equal to the deletion threshold value, the path is reserved;
s5: updating the path list according to the judging result of judging whether the path is deleted or not, and updating the deleting threshold value according to the updated path list;
s6: after finishing updating the deletion threshold, judging whether the current position is a position for CRC check in advance, if not, selecting the next bit position as the current decoding bit position and returning to the execution step S3 to continue SCL decoding; if yes, performing CRC (cyclic redundancy check) on all paths in the path list, reducing the paths in the path list to 1 path result based on the result of the CRC, outputting, stopping SCL (SCL code) decoding, and not returning to execute step S3;
s7: SC decoding is carried out on bit positions which are remained in the code word to be decoded and are not decoded based on the output path result;
wherein the decoding key set comprises bit positions of part or all bits in the code word to be decoded, and the bit position set is a continuous bit set from the first bit position of the code word to be decoded to a position for performing CRC (cyclic redundancy check) in advance;
the specific calculation mode of the path expansion threshold value is as follows:
Figure QLYQS_1
wherein ,
Figure QLYQS_2
is a path expansion threshold for judging whether the path should be path expanded,/or not>
Figure QLYQS_3
Is the minimum expected value of log-likelihood ratio obtained by using Gaussian approximation method for polarization code, +.>
Figure QLYQS_4
Index representing bit channel->
Figure QLYQS_5
A set of information bit indices representing codewords to be decoded, < >>
Figure QLYQS_6
Represents a fixed threshold, N represents a code length, a fixed threshold +.>
Figure QLYQS_7
The value of (2) is preset; />
Figure QLYQS_8
The minimum information bit LLR mean value calculated by Gaussian approximation is represented, and the calculation process is as follows:
Figure QLYQS_9
Figure QLYQS_10
wherein, the channel indexes 2i and 2i-1 are used for distinguishing the odd-even channel indexes, the value ranges from 1 to N,
Figure QLYQS_11
is a recursive process, the initialization condition of the recursion is that
Figure QLYQS_12
,/>
Figure QLYQS_13
Noise mean value of Gaussian white noise channel representing transmission,/->
Figure QLYQS_14
The function is expressed as follows:
Figure QLYQS_15
calculated 1 to N bits each
Figure QLYQS_16
Then, based on the information bit set +.>
Figure QLYQS_17
Indicated channel index value find set +.>
Figure QLYQS_18
Minimum->
Figure QLYQS_19
It is marked as->
Figure QLYQS_20
2. The method for reducing decoding delay of polarization code successive cancellation table decoding algorithm as claimed in claim 1, wherein said step S5 specifically comprises:
s5: after updating a path list based on a judging result of path deletion, judging whether a maximum path metric value in the path list is smaller than a deletion threshold value, if so, updating the maximum path metric value into a new deletion threshold value; if not, the deletion threshold is unchanged.
3. The method for reducing decoding delay of polarization code successive cancellation table decoding algorithm as claimed in claim 1, wherein the specific calculation method of average log likelihood ratio of paths contained in the path list is as follows:
Figure QLYQS_21
wherein ,
Figure QLYQS_22
and->
Figure QLYQS_23
Representing Path index->
Figure QLYQS_24
The corresponding path is +.>
Figure QLYQS_25
Probability of extension to 0 and probability of extension to 1 when path extension is performed, +.>
Figure QLYQS_26
Representation list +.>
Figure QLYQS_27
Wherein the LLR values for a single path are defined as follows:
path
Figure QLYQS_28
LLR value =>
Figure QLYQS_29
4. A method for reducing decoding delay of a polar-code successive cancellation table decoding algorithm as set forth in claim 3, wherein said step S0 specifically includes:
s001: acquiring a decoding key set corresponding to a codeword to be decoded in advance according to the codeword to be decoded, the code length, the code rate and the signal-to-noise ratio of an actual channel;
wherein the decoding key set includes bit positions with poor channel conditions in the data to be decoded, and stores the index values corresponding to the bit positions, the bit positions with poor channel conditions are information bits
Figure QLYQS_30
Minimum->
Figure QLYQS_31
Personal->
Figure QLYQS_32
The corresponding bit positions.
5. An apparatus for reducing decoding delay of a polar-code successive cancellation table decoding algorithm, characterized in that the apparatus comprises: a key set generator, an SCL decoder and an SC decoder;
the key set generator is used for generating a decoding key set in advance according to the code word to be decoded, the code length and the code rate of the code word and the signal-to-noise ratio of an actual channel;
the SCL decoder is used for executing an SCL decoding algorithm to decode the decoding key set;
the SC decoder executes an SC decoding algorithm according to the decoding result of the SCL decoder to finish decoding the code word to be decoded;
wherein, the SCL decoder comprises a probability calculation unit, a list generation unit, an initialization unit and a cyclic decoding unit:
the probability calculation unit is used for calculating the probability value that the bit data of each bit position corresponding to the decoding key set is 0 or 1 according to the channel condition and recording the probability value as an expansion probability value;
the list generation unit is used for generating a path list of the decoding key set according to the corresponding expansion probability value;
the initialization unit is used for initializing the deletion threshold after the list generation unit generates the path list;
and the cyclic decoding unit is used for executing SCL decoding to decode the decoding key set after initializing the deletion threshold value.
6. The apparatus for reducing decoding delay of polarization code successive cancellation table decoding algorithm according to claim 5, wherein the cyclic decoding unit comprises a selecting unit, an expansion selecting unit, a list updating unit, a path deleting unit, and a cyclic unit:
the selecting unit is used for selecting a target position for decoding from the decoding key set as a current bit position;
the expansion selection unit is used for carrying out expansion selection on the current bit position based on the expansion probability value on the current bit position;
the list updating unit is used for updating the path list according to the expansion selection result of the expansion selection unit;
the path deleting unit is used for executing path deletion on the path list updated by the list updating unit through the deletion threshold value and updating the deletion threshold value;
and the circulation unit is used for recalling the selection unit, the expansion selection unit, the list updating unit and the path deleting unit to decode the decoding key set after the path deleting unit executes path deletion until the decoding of the decoding key set is completed.
7. The apparatus for reducing decoding delay of polarization code successive cancellation table decoding algorithm according to claim 6, wherein said extension selecting unit comprises a threshold unit, an extension judging unit:
the threshold unit determines or updates a path expansion threshold according to the signal-to-noise ratio information of the current bit position and the code word corresponding to the path list, and the specific calculation mode is as follows:
Figure QLYQS_33
wherein ,
Figure QLYQS_34
is a path expansion threshold for judging whether the path should be path expanded,/or not>
Figure QLYQS_35
Is the minimum expected value of log-likelihood ratio obtained by using Gaussian approximation method for polarization code, +.>
Figure QLYQS_36
Index representing bit channel->
Figure QLYQS_37
A set of information bit indices representing codewords to be decoded, < >>
Figure QLYQS_38
Represents a fixed threshold, N represents a code length, a fixed threshold +.>
Figure QLYQS_39
The value of (2) is preset; />
Figure QLYQS_40
The minimum information bit LLR mean value calculated by Gaussian approximation is represented, and the calculation process is as follows:
Figure QLYQS_41
Figure QLYQS_42
wherein, the channel indexes 2i and 2i-1 are used for distinguishing the odd-even channel indexes, the value ranges from 1 to N,
Figure QLYQS_43
is a recursive process, the initialization condition of the recursion is that
Figure QLYQS_44
,/>
Figure QLYQS_45
Noise mean value of Gaussian white noise channel representing transmission,/->
Figure QLYQS_46
The function is expressed as follows:
Figure QLYQS_47
calculated 1 to N bits each
Figure QLYQS_48
Then, based on the information bit set +.>
Figure QLYQS_49
Indicated channel index value find set +.>
Figure QLYQS_50
Minimum->
Figure QLYQS_51
It is marked as->
Figure QLYQS_52
The judging unit calculates average LLR values of all paths in the path list and judges whether to execute path expansion at the current bit position by combining the path expansion threshold value, specifically:
Figure QLYQS_53
performing path expansion at the currently selected bit position when the average LLR value of all paths is less than the path expansion threshold; otherwise, no path extension is performed at the current selected bit position and a direct decision is made on the path of the current selected bit position.
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