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Symbol-Based Belief Propagation Decoder for Multilevel Polar Coded Modulation

机译:基于符号的置信传播解码器,用于多级极性编码调制

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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.
机译:在这封信中,提出了基于符号的置信传播解码器,用于多级极性编码调制(MLPCM)方案。与传统的多阶段检测(MSD)策略不同,我们在解映射后逐级解码极性代码,我们直接计算符号的概率,并在符号解码过程之后进行解映射,以减少解码延迟并提高MLPCM的性能。 MLPCM的帧错误率的下限也使用联合边界技术来估计。数值结果表明,所提出的解码器的性能与脉冲幅度调制(PAM)调制的估计界限完全匹配,并且在延迟较低的情况下,其性能优于MSD策略约0.5-1 dB,这只是以一些额外的计算复杂性为代价,这表明其解码器效力。

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    《IEEE communications letters》 |2017年第1期|24-27|共4页
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