A Study on Iterative Equalization with GaBP and Soft Successive Cancellation List Decoding in a Polar-Coded System

Kentaro Fukuda, T. Nishimura, T. Ohgane, Y. Ogawa, J. Hagiwara
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Abstract

We consider channel equalization with Gaussian Belief Propagation (GaBP) in a SISO polar coded single carrier transmission. GaBP requires soft values on reliability information for coded bits when the channel decoder is concatenated and iteratively decoded with GaBP. However, it is not so easy to generate the soft values of coded bits in general polar decoders. In this paper, we use soft successive cancellation list (SSCL) decoding for generating log-likelihood ratio (LLR) values of coded bits. In addition, we propose simpler methods to generate LLR values based on Log-domain SSCL decoding. The simulation results show that the SSCL decoding and its modified versions work well with GaBP and that the proposed method provides the same or better performance with less complex algorithm than that of SSCL decoding.
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极编码系统中GaBP迭代均衡和软逐次消列译码的研究
研究了基于高斯信念传播(GaBP)的SISO极化编码单载波传输信道均衡问题。当信道解码器用GaBP进行串接和迭代解码时,GaBP要求编码位的可靠性信息软值。然而,在一般的极性解码器中,产生编码位的软值并不容易。在本文中,我们使用软连续抵消列表(SSCL)解码来生成编码位的对数似然比(LLR)值。此外,我们提出了更简单的基于对数域SSCL解码的LLR值生成方法。仿真结果表明,改进后的SSCL译码方法和改进后的SSCL译码方法在GaBP下都能很好地工作,且算法复杂度较SSCL译码相同甚至更好。
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