Symbol-Based Belief Propagation Decoder for Multilevel Polar Coded Modulation

Symbol-Based Belief Propagation Decoder for Multilevel Polar Coded Modulation
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用于多级极性编码调制的基于符号的置信传播解码器

DOI:
10.1109/lcomm.2016.2613980
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发表时间:
2017
期刊:
IEEE Communications Letters
影响因子:
--
通讯作者:
Zhang Yingxian
Zhang Yingxian
中科院分区:
其他
文献类型:
--
作者:
Zhang Qingshuang;Liu Aijun;Pan Xiaofei;Zhang Yingxian

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本文提出了一种适用于多电平极地编码调制(MLPCM)方案的基于符号的置信度传播译码算法。与传统的解映射后逐层译码的多级检测(MSD)策略不同,我们直接计算符号的概率,并在符号译码后进行解映射,从而降低译码时延,提高MLPCM的性能。并利用并界法估计了MLPCM的误帧率下界。数值结果表明,该解码器的性能与脉冲幅度调制的估计值相吻合,在译码时延较小的情况下,译码性能比MSD策略高出约0.5−1dB,但增加了一定的计算复杂度,表明了其有效性。
In this letter, symbol-based belief propagation decoder is proposed for multilevel polar coded modulation (MLPCM) scheme. Unlike the traditional multi-stage detection (MSD) strategy by decoding polar codes level by level after demapping, we directly calculate the probabilities of symbols and do demapping after the symbol decoding process so as to decrease the decoding delay and improve the performance of MLPCM. The lower bound of frame error rate for MLPCM is also estimated using the union bound technique. Numerical results show that the performance of proposed decoder well matches the estimated bound for pulse amplitude modulation (PAM) modulation and outperforms the MSD strategy about 0.5−1 dB with lower decoding delay, only at the cost of some additional computational complexity, which indicates its effectiveness.
DOI: 10.1109/isit.2000.866556
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期刊: 2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060)
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