CN108173624B - Partial decoding polarization code serial offset decoding circuit and method thereof - Google Patents
Partial decoding polarization code serial offset decoding circuit and method thereof Download PDFInfo
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Abstract
The invention discloses a partial decoding polarization code serial offset decoding circuit and a method thereof, which is characterized by comprising the following steps: the device comprises a binary phase shift keying modulation module, a likelihood ratio calculation module and a bit hard decision module; the binary phase shift keying modulation module generates an initial likelihood ratio according to a receiving sequence; the likelihood ratio calculation module includesThe calculation stages are connected in turn in a recursion way, and the bit hard decision module carries out symbol decision according to a pair of likelihood ratios output by the final stage and outputs a decoding result. The invention only carries out paired decoding on at least one information bit of the adjacent channel, and can effectively reduce the number of likelihood ratio calculation units and the opening times while shortening the decoding period, thereby reducing the overall power consumption of the decoder and finally achieving the purpose of quick low power consumption of the whole decoder.
Description
Technical Field
The invention belongs to the technical field of network communication, and particularly relates to a partial decoding polar code serial offset decoding circuit and a partial decoding polar code serial offset decoding method.
Background
Polar Code is the latest in the field of coding at present, and is also the most concerned coding mode, and its proposal is a major breakthrough in the field of coding and is based on the channel polarization theory. The polar code has a deterministic construction method and is the only known channel coding method that can be strictly proven to "reach" the channel capacity. Compared with other coding modes, the lower complexity and the error correction performance capable of reaching the fragrance limit enable the polar code to be used as an important candidate of an error correction scheme in the field of next-generation digital communication and storage.
In the prior art, the decoding speed and power consumption of a Polar code serial offset decoding circuit are obviously improved, adjacent channels are basically required to be decoded in pairs by fixed bits, so that redundant calculation of a likelihood ratio calculation unit is brought, power consumption is increased, decoding delay is brought, the data throughput rate is Reduced, hardware overhead is increased, 2N-2 decoding cycles are required for completing one decoding, and the method is not applicable in occasions with higher communication real-time requirements, most of the Polar code serial offset decoding algorithms focus on how to accelerate the decoding speed, improve the data throughput rate or reduce the power consumption, and pay less attention to the performance influence of the two on the whole decoder, Liuxing, Zhang et al are 2013, IEEE international Conference DSP (digital signal Processing) published' A Stage-Reduced L-L adaptive decoding is used for decoding, decoding is still carried out by a Polar code serial offset decoding circuit, the decoding algorithm reduces the likelihood ratio by a large number of decoding cycles, the decoding speed is Reduced by the conventional decoding algorithm, the problem that the likelihood ratio of the Polar code serial offset decoding circuit is Reduced by 2N-2 decoding cycles, and the likelihood ratio is Reduced, and the problem that the decoding algorithm is still solved by the conventional serial offset decoding algorithm, and the problem that the likelihood ratio of the conventional decoding algorithm is Reduced by the simple decoding algorithm, and the likelihood ratio of the similar decoding algorithm, and the likelihood ratio of the similar decoding is increased by the similar decoding.
Disclosure of Invention
The invention provides a partial decoding polar code serial offset decoding circuit and a partial decoding polar code serial offset decoding method, aiming at solving the problem that the existing polar code serial offset decoding algorithm does not unify the decoding speed and the power consumption, and aiming at accelerating the decoding speed, improving the data throughput, reducing the hardware overhead, avoiding the redundant calculation of a likelihood ratio calculation unit, reducing the power consumption and further optimizing the overall decoding performance of the whole polar code serial decoder.
The technical scheme adopted by the invention to achieve the aim is as follows:
the invention relates to a partial decoding polarization code serial offset decoding circuit, which is characterized by comprising the following components: the device comprises a binary phase shift keying modulation module, a likelihood ratio calculation module and a bit hard decision module;
obtaining a fixed bit and an information bit in a transmission channel according to a channel polarization theory; the binary phase shift keying modulation module receives a code sequence { X ] in the transmission channel1,X2,…,Xi,…,XNCalculating the initial likelihood ratio of each code wordWherein, XiDenotes the ith code, yiWhich represents the (i) th channel of the channel,representing the ith code XiN is the code length of the polar code, i is 1,2, …, N;
the likelihood ratio calculation module receives the initial likelihood ratioAnd in front ofThe stage is recursively calculated to obtainTwo pairs of likelihood ratios for a stage; judgment ofWhether any pair of likelihood ratios of the stages are transmitted at fixed bit positions, if so, at the second stageStage does not calculate corresponding likelihood ratio, and directly outputs fixed bit; otherwise, in the secondStage calculating corresponding likelihood ratio to obtain the secondA pair of likelihood ratios of the stages are output to the bit hard decision module;
the bit hard decision module receives the pair of likelihood ratios, performs symbol decision and outputs decoding bits; meanwhile, the likelihood ratio calculation module receives the decoding bit fed back by the bit hard decision module for the calculation of the likelihood ratio.
The invention relates to a partial decoding polarization code serial offset decoding method which is characterized by comprising the following steps:
In the formula (1), the reaction mixture is,2is the variance, yiFor the ith code XiThe code word after the interference is selected,representing the ith code XiI is 1,2, …, N is the code length of the polar code;
step 4, judgingWhether any pair of likelihood ratios of the stages are transmitted at fixed bit positions, if so, at the second stageStage does not calculate corresponding likelihood ratio, and directly outputs fixed bit; otherwise, in the secondStage calculating corresponding likelihood ratio to obtain the secondAfter a pair of likelihood ratios of the stages, step 5 is executed;
step 5, carrying out symbol decision processing on the pair of likelihood ratios to obtain decoding bits in the current period;
and 6, feeding the decoded bits back to the step 3 for calculating the likelihood ratio of the next period.
Compared with the prior art, the beneficial technical effects of the invention are as follows:
1. the invention relates to a polar code serial offset decoding circuit and a method thereof, which only carry out paired decoding on at least one information bit of an adjacent channel, if the second one isAny pair of likelihood ratios of a stage is transmitted at a fixed bit, then at the secondStage does not calculate corresponding likelihood ratio, and directly outputs fixed bit; otherwise, in the secondAnd in the stage, the corresponding likelihood ratio is calculated, and the likelihood ratio calculation structure is simplified and optimized, so that the complexity of likelihood ratio calculation is reduced.
2. The invention can replace the last stage of likelihood ratio calculation by using the bit hard decision module under the condition of not reducing the decoding accuracy, and only carries out the paired decoding on at least one information bit of the adjacent channel, thereby obviously accelerating the decoding speed and reducing the decoding period from the traditional 2N-2 to the approximate decoding speedThe real-time requirement of the decoder is enhanced, and the throughput rate and the decoding efficiency of data are improved.
3. The invention simplifies the likelihood ratio calculation structure on the basis of the traditional offset decoding algorithm, if a pair of bits of serial decoding are fixed bits, the likelihood ratio can not be calculated, and further, the calculation amount of a likelihood ratio calculation unit is effectively reduced, thereby reducing the power consumption of the whole decoder to a great extent.
4. The invention aims to reduce power consumption and accelerate decoding speed as design targets, and realizes the unification of speed and power consumption by using a partial decoding algorithm, thereby accelerating the decoding speed, reducing the power consumption and further improving the decoding performance of the whole decoder.
Drawings
FIG. 1 is a block diagram of a conventional serial cancellation decoding algorithm;
FIG. 2 is a block diagram of a portion of the decoding algorithm of the present invention;
fig. 3 is a schematic diagram of a bit hard decision module according to the present invention.
Detailed Description
In this embodiment, for convenience of description, it is assumed that the code length N of the polarization code is 8, the information bit a is (4,6,7,8) based on the channel polarization, and the fixed bit acThe fixed bit transmits bit '0', and the likelihood ratio calculation module is divided into 2 stages, stage 1 and stage 2, as shown in fig. 2; assuming that the coded code word sequence is V (00010111), binary phase shift keying modulation is performed on the coded sequence to obtain a modulated sequence S (+1+1+1-1+1-1-1-1), the modulated sequence is added with an average value mu (0), and the variance is V20.5 white additive Gaussian noiseObtaining a reception sequence Y (-0.5+2.2+1.8-1.2-0.2-0.9-1.2-1), and calculating an initial likelihood ratio according to formula (1);
as shown in fig. 2, a partially decoded polar code serial cancellation decoding circuit includes: the device comprises a binary phase shift keying modulation module, a likelihood ratio calculation module and a bit hard decision module;
obtaining fixed bit A in transmission channel according to channel polarization theoryc(1,2,3,5) and information bit a ═ 4,6,7, 8; wherein the binary phase shift keying modulation module receives a code sequence { X ] in a transmission channel1,X2,…,Xi,…,XNAnd calculating the initial likelihood ratio of each code word according to the formula (1)Wherein, XiDenotes the ith code, yiWhich represents the (i) th channel of the channel,representing the ith code XiN is the code length of the polar code, i is 1,2, …, N;
likelihood ratio calculation module receives initial likelihood ratiosAnd in front ofThe stage is recursively calculated to obtainTwo pairs of likelihood ratios for a stage; judgment ofWhether any pair of likelihood ratios of the stages are transmitted at fixed bit positions, if so, at the second stageStage does not calculate corresponding likelihood ratio, and directly outputs fixed bit; otherwise, in the secondStage calculating corresponding likelihood ratio to obtain the secondA pair of likelihood ratios of the stages are output to the bit hard decision module; as shown in FIG. 2, u1u2…u8Indicating the code bit, the length of the polar code N is 8, and in the pair u1u2When decoding, since u1u2A pair of adjacent fixed bits, so that stage 2 does not calculate its corresponding likelihood ratio, and directly outputs the decoded bitAnd decoding is done in pairs for u3u4,u5u6,u7u8Because the adjacent channel has at least one information bit, the corresponding likelihood ratio is calculated in the 2 nd stage, as shown in fig. 3, a pair of likelihood ratios obtained in the stage 2 is input to a bit hard decision module, the sign bits of the likelihood ratios are subjected to exclusive or operation to obtain odd decoded bits, and the sign bits with larger likelihood ratios are output as even decoded bits;
the bit hard decision module receives a pair of likelihood ratios and outputs decoding bits after symbol decision, the pair of likelihood ratios of the stage 2 is input into the bit hard decision module for symbol decision by using the decision function of the following formula, and if the likelihood ratios are not equal to the likelihood ratiosDecoding to 0, otherwise decoding to 1;
meanwhile, the likelihood ratio calculation module receives the decoding bit fed back by the bit hard decision module for the calculation of the likelihood ratio, as shown in fig. 2, the decoding output of the bit hard decision moduleThe feedback is input to the 4 g calculation units of phase 1,the feedback is input to the 4 th, 8 th g calculation unit of stage 2.
In this embodiment, a partially decoded polar code serial cancellation decoding method is performed as follows:
In the formula (1), the reaction mixture is,2is the variance, yiFor the ith code XiThe code word after the interference is selected,representing the ith code XiI is 1,2, …, N is the code length of the polar code; it is assumed here that the coded codeword sequence is { 00010111 }, binary phase shift keying modulation is performed on the coded codeword to obtain a modulation sequence { +1+1+1-1+1-1-1-1}, the modulated sequence is added with a mean value μ ═ 0, and the variance is { 00010111 }, where2The received sequence Y is obtained, where the mean value μ is 0 and the variance is added20.5 additive white gaussian noise (taking noise samples)Receiving the sequence Y (-0.5+2.2+1.8-1.2-0.2-0.9-1.2-1), and calculating an initial likelihood ratio according to formula (1);
step 4, judgingWhether any pair of likelihood ratios of the stages are transmitted at fixed bit positions, if so, at the second stageStage does not calculate corresponding likelihood ratio, and directly outputs fixed bit; otherwise, in the secondStage calculating corresponding likelihood ratio to obtain the secondAfter a pair of likelihood ratios of the stages, step 5 is executed;
step 5, carrying out symbol decision processing on the pair of likelihood ratios to obtain decoding bits in the current period;
as shown in FIG. 2, the coding sequence is (x)1,x2,…x8) After binary phase shift keying modulation, the initial likelihood ratio is generated asThe upper right digits of likelihood ratio calculation units f and g indicate that the likelihood ratio calculation units f and g are started in the next clock period, the whole SC decoding structure is similar to DFT of a butterfly graph calculation sequence by FFT, 1), and when T is equal to 1, 4 groups of f factors of a stage 1 receive an initial likelihood ratio; 2) when T is equal to 2, 2 groups of g factors of the stage 2 receive the output result of T is equal to 1, the obtained 2 calculated values are transmitted to a bit hard decision module, and decoding is carried out3) When T is 3, 4 groups of g factors of the stage 1 receive an initial likelihood ratio; 4) when T is 4, 2 groups of f factors of the phase 2 receive the output result of T is 3, and the obtained 2 calculated values are transmitted to the bit hardDecision module, decoding5) When T is 5, 2 groups of g factors of the stage 2 receive the output result of T is 3, the obtained 2 calculated values are transmitted to a bit hard decision module, and decoding is carried out
In the formula (3) i.e. f,in order to receive the sequence of the data,andfor receiving a sequenceThe upper part and the lower part of the frame,subvectors (u) representing odd indicesk:1≤k≤j;k odd),Sub-vector (u) representing even indexkK is more than or equal to 1 and less than or equal to j, k even), sgn represents a sign function, a sign '⊕' represents exclusive-or operation, min represents the minimum value, '|' represents the absolute value, in formula (4), i.e. g,is shown to haveThe decoded bits.
In this embodiment, assuming that the length N of the polar code is 8, a polar code serial cancellation decoding algorithm of partial decoding is implemented by Verilog HD L, and compared with a conventional serial cancellation decoding algorithm and a decoding algorithm of likelihood ratio reduction, as shown in table 1;
TABLE 1 comparison of performance of three decoding algorithms
As shown in fig. 1, for the conventional serial cancellation decoding algorithm, the likelihood ratio calculation is divided into three stages, i.e., stage 1, stage 2, and stage3, 14 cycles are required for completing one decoding, the calculation unit is started 24 times, and the calculation condition of the likelihood ratio calculation unit in each cycle is shown in table 2;
TABLE 28-Bit conventional Serial offset decoding period
As shown in table 3, for the reduced-order decoding algorithm, the working conditions of the likelihood ratio calculation unit in each period are listed, 6 periods are required for completing one decoding, and the calculation unit is started 16 times;
TABLE 38-Bit reduced-order successive cancellation decoding period
As shown in fig. 2, the system structure diagram of partial decoding only performs pair-wise decoding on at least one information bit of an adjacent channel, in short, if the adjacent channel is a pair of fixed bits, the decoding is not performed; as shown in table 4, 5 cycles are required for completing one decoding by a partial decoding algorithm, and the computing unit is turned on 14 times, so that compared with the conventional serial cancellation decoding, the hardware overhead of 10 likelihood ratio computing units is reduced, the decoding cycle is reduced to 5 cycles from the conventional 14 cycles, and the data throughput is improved by about 2.3 times.
TABLE 48-Bit partial serial cancellation decoding period
As shown in table 5, in this experiment, a Polar code serial cancellation decoding algorithm of partial decoding and a recurrent article "a Stage-Reduced L ow-L inherent subsequent decoding decoder for Polar Codes" first-order serial cancellation decoding algorithm are implemented by Verilog HD L, and the asic employs a 180nm process, where the code length N is 8, the fixed bit number K is 4, and the code rate R is 0.5, the resource consumption of the partial decoder is Reduced by about 16% compared with the Reduced-order decoder, and the power consumption is Reduced by about 6%.
Table 5 partial decoding compares the results of the reduced order decoding measurements with N8, K4, and R0.5
Claims (2)
1. A partially decoded polar code serial cancellation decoding circuit, comprising: the device comprises a binary phase shift keying modulation module, a likelihood ratio calculation module and a bit hard decision module;
obtaining a fixed bit and an information bit in a transmission channel according to a channel polarization theory; the binary phase shift keying modulation module receives a code sequence { X ] in the transmission channel1,X2,…,Xi,…,XNCalculating the initial likelihood ratio of each code wordWherein, XiDenotes the ith code, yiWhich represents the (i) th channel of the channel,representing the ith code XiN is the code length of the polar code, i is 1,2, …, N;
the likelihood ratio calculation module receives the initial likelihood ratioAnd in front ofThe stage is recursively calculated to obtainTwo pairs of likelihood ratios for a stage; judgment ofWhether any pair of likelihood ratios of the stages are transmitted at fixed bit positions, if so, at the second stageStage does not calculate corresponding likelihood ratio, and directly outputs fixed bit; otherwise, in the secondStage calculating corresponding likelihood ratio to obtain the secondA pair of likelihood ratios of the stages are output to the bit hard decision module;
the bit hard decision module receives the pair of likelihood ratios, performs symbol decision and outputs decoding bits; meanwhile, the likelihood ratio calculation module receives the decoding bit fed back by the bit hard decision module for the calculation of the likelihood ratio.
2. A partial decoding polarization code serial offset decoding method is characterized by comprising the following steps:
step 1, obtaining a fixed bit and an information bit in a transmission channel according to a channel polarization theory;
step 2, coding sequence { X in the transmission channel1,X2,…,Xi,…,XNGet the receiving sequence (y) after modulating and adding additive white Gaussian noise1,y2,…,yi,…,yN}; then according to the receiving sequence y1,y2,…,yi,…,yNObtaining an initial likelihood ratio using equation (1)
In the formula (1), the reaction mixture is,2is the variance, yiFor the ith code XiThe code word after the interference is selected,representing the ith code XiI is 1,2, …, N is the code length of the polar code;
step 3, precedingStage to initial likelihood ratioPerforming recursive calculation to obtain the second time in the current periodTwo pairs of likelihood ratios for a stage;
step 4, judgingWhether any pair of likelihood ratios of the stages are transmitted at fixed bit positions, if so, at the second stageStage does not calculate corresponding likelihood ratio, and directly outputs fixed bit; otherwise, in the secondStage calculating corresponding likelihood ratio to obtain the secondAfter a pair of likelihood ratios of the stages, step 5 is executed;
step 5, carrying out symbol decision processing on the pair of likelihood ratios to obtain decoding bits in the current period;
and 6, feeding the decoded bits back to the step 3 for calculating the likelihood ratio of the next period.
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105720992A (en) * | 2016-01-22 | 2016-06-29 | 哈尔滨工业大学深圳研究生院 | Polarized code simplifying and decoding method |
CN105811998A (en) * | 2016-03-04 | 2016-07-27 | 深圳大学 | Density evolution based polarization code constructing method and polarization code coding and decoding system |
CN106788724A (en) * | 2016-12-09 | 2017-05-31 | 暨南大学 | A kind of visible light communication system and its implementation based on polarization code |
CN107437976A (en) * | 2016-05-25 | 2017-12-05 | 华为技术有限公司 | A kind of data processing method and equipment |
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US9317365B2 (en) * | 2014-03-06 | 2016-04-19 | Seagate Technology Llc | Soft decoding of polar codes |
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Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105720992A (en) * | 2016-01-22 | 2016-06-29 | 哈尔滨工业大学深圳研究生院 | Polarized code simplifying and decoding method |
CN105811998A (en) * | 2016-03-04 | 2016-07-27 | 深圳大学 | Density evolution based polarization code constructing method and polarization code coding and decoding system |
CN107437976A (en) * | 2016-05-25 | 2017-12-05 | 华为技术有限公司 | A kind of data processing method and equipment |
CN106788724A (en) * | 2016-12-09 | 2017-05-31 | 暨南大学 | A kind of visible light communication system and its implementation based on polarization code |
Non-Patent Citations (2)
Title |
---|
"极化码编解码算法研究及其硬件设计";潘必韬;《中国优秀硕士学位论文全文数据库 信息科技辑》;20170915;全文 * |
"极化码的译码算法研究";张琛云;《中国优秀硕士学位论文全文数据库 信息科技辑》;20180115;全文 * |
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