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电力线信道中极化码译码算法的改进OACSTPCD

Improvement of Polar Code Decoding Algorithm in Power Line Channel

中文摘要英文摘要

脉冲噪声是影响电力线通信性能的最主要因素.为了提升极化码在电力线信道的性能,文章提出了分段循环冗余校验码辅助串行抵消列表比特翻转(segmented CRC aid SCL-bit flip,SCA-SCL-BF)译码算法,并在加性高斯白噪声(additive white gaussian noise,AWGN)信道和电力线信道下进行了仿真.在构造关键集合时引入 Rate1子块,避免了全集搜索的复杂度;根据关键集合中比特的位置进行分段,每段翻转一比特,可以实现多比特翻转.仿真结果表明,SCA-SCL-BF 算法的性能相较于公开文献中性能在信噪比(signal-to-noise ratios,SNR)大于 0 dB时有显著提升.该算法对于提升电力线传输性能有重要意义.

Pulse noise is the most primary factor that affects the performance of power line communication.In order to enhance the performance of polar codes in power line channels,this paper proposes a segmented CA-SCL bit-flipping decoding algorithm and makes simulations in both additive white gaussian noise and power line channels.In constructing the critical set,the algorithm introduces Rate1 sub-block to avoid the complexity of searching the entire set,and segmentation are conducted based on the positions of the bits in the critical set,and each segment flips one bit,achieving multi-bit flipping.Simulation results show that the performance of the SCA-SCL-BF algorithm outperforms that of existing literature significantly when signal-to-noise ratios>0dB.The algorithm has a great significance in improving power line transmission.

张京席;鲁越;陈智雄

华北电力大学 电气与电子工程学院,河北省 保定市 071003

电子信息工程

电力线通信MCAN模型极化码Rate1子块分段译码

power line communicationMCAN modelpolar codeRate1 sub-blocksegmented decoding

《电力信息与通信技术》 2024 (005)

17-24 / 8

国家自然科学基金青年基金资助项目(61601182);中央高校科研业务费专项资金资助项目(2023MS113).

10.16543/j.2095-641x.electric.power.ict.2024.05.03

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