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An improved bp decoding method for polar codes based on an early termination iterative strategy

A technology of early termination and polar coding, which is applied in the field of computer decoding, can solve problems such as high computational complexity and calculation of large amounts of data, and achieve the effect of reducing decoding complexity and number of iterations

Inactive Publication Date: 2017-10-20
XIDIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this algorithm requires a large number of iterations, which requires a large amount of data to be calculated during decoding, and has a high computational complexity.

Method used

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  • An improved bp decoding method for polar codes based on an early termination iterative strategy
  • An improved bp decoding method for polar codes based on an early termination iterative strategy
  • An improved bp decoding method for polar codes based on an early termination iterative strategy

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Effect test

Embodiment 1

[0075] Under the condition that the maximum number of iterations is 60 and the convergence threshold ε=0.01, the bit error rate curves of the improved BP decoding algorithm and the original BP decoding algorithm of the polar code with parameters (512, 256) and each signal-to-noise Compared with the curve of the average number of iterations; the results are as follows figure 2 shown; the curve in the figure shows that compared with the original BP decoding algorithm, the improved BP decoding algorithm of the polar code with parameters (512, 256) has no loss in performance, and the average number of iterations is greatly reduced. When the SNR is 3dB , the average number of iterations is reduced by approximately 80%, and as the SNR increases, the average number of iterations gradually decreases and eventually levels off.

Embodiment 2

[0077] Under the condition that the maximum number of iterations is 60 and the convergence threshold ε=0.01, the bit error rate curves of the improved BP decoding algorithm and the original BP decoding algorithm of the polar code with parameters (1024, 512) and each signal-to-noise Compared with the curve of the average number of iterations; the results are as follows image 3 shown; the curve in the figure shows that compared with the original BP decoding algorithm, the improved BP decoding algorithm with parameters (1024, 512) has no performance loss, and the average number of iterations is greatly reduced. When the signal-to-noise ratio is 3dB , the average number of iterations is reduced by approximately 80%, and as the SNR increases, the average number of iterations gradually decreases and eventually levels off.

Embodiment 3

[0079] Under the condition that the maximum number of iterations is 60 and the convergence threshold ε=0.01, the bit error rate curves of the improved BP decoding algorithm and the original BP decoding algorithm of the polar code with parameters (2048, 1024) and each signal-to-noise Compared with the curve of the average number of iterations; the results are as follows Figure 4 shown; the curve in the figure shows that compared with the original BP decoding algorithm, the improved BP decoding algorithm of the polar code with parameters (2048, 1024) has no loss in performance, and the average number of iterations is greatly reduced. When the signal-to-noise ratio is 3dB , the average number of iterations is reduced by approximately 80%, and as the SNR increases, the average number of iterations gradually decreases and eventually levels off.

[0080] Compared with the original BP decoding algorithm, the improved BP decoding algorithm has no performance loss and greatly reduces ...

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Abstract

The present invention proposes an improved BP decoding method for polar codes based on an early termination iteration strategy. The method uses the convergence of the information bit likelihood ratio of the polar code as a criterion for stopping the iteration of the BP decoding algorithm for Reduce the number of iterations, and then achieve the purpose of reducing the complexity of BP decoding algorithm. The simulation results show that this strategy greatly reduces the number of decoding iterations. When the maximum number of iterations is 60 and the signal-to-noise ratio is 3.5dB, the average number of iterations is reduced by 80% compared with the original BP decoding algorithm, which is ahead of the existing ones. A termination iteration strategy is better.

Description

technical field [0001] The invention belongs to the field of computer decoding, in particular to an improved BP decoding method of a polar code based on an early termination iteration strategy. Background technique [0002] Polar codes have attracted attention in recent years due to their ability to reach the Shannon limit with low encoding / decoding complexity. In order to illustrate the performance of polar codes, Arikan gave the first decoding algorithm - continuous elimination decoding algorithm, namely SC. Afterwards, some improved SC decoding algorithms were proposed. Due to the nature of the SC decoding algorithm, the algorithms proposed above have disadvantages such as high decoding delay and low output, so the application in real life is affected. [0003] As a parallel decoding algorithm, BP's application on Polar has attracted a lot of attention. However, this algorithm requires a large number of iterations, so that a large amount of data needs to be calculated ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H03M13/11
CPCH03M13/13H03M13/1128H03M13/1191
Inventor 李卓邢莉娟刘军旗
Owner XIDIAN UNIV
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