基于部分响应和SCMA的联合检测与译码算法

doi:10.7523/j.issn.2095-6134.2020.05.010

中国科学院大学学报 ›› 2020, Vol. 37 ›› Issue (5): 657-662.DOI: 10.7523/j.issn.2095-6134.2020.05.010

基于部分响应和SCMA的联合检测与译码算法

刘梦^1,2, 刘威^1,2, 周志刚¹

1. 中国科学院上海微系统与信息技术研究所, 上海 200050;
2. 中国科学院大学, 北京 100049

收稿日期:2018-12-25 修回日期:2019-05-08 发布日期:2020-09-15
通讯作者: 刘梦
基金资助:
中国科学院科技创新重点部署项目（KGFZD-135-18-013YT）资助

Joint detection and decoding algorithm based on partial response and SCMA

LIU Meng^1,2, LIU Wei^1,2, ZHOU Zhigang¹

1. Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China

Received:2018-12-25 Revised:2019-05-08 Published:2020-09-15
Supported by:

摘要/Abstract

摘要： 稀疏码分多址（SCMA）是一种新型非正交多址技术，具有过载通信的特点。在高信噪比（E_b/N₀）场景下基于消息传递（MPA）的译码算法，误比特率性能不理想。因此，提出一种部分响应与稀疏码分多址联合调制译码模型，方案继承了SCMA在译码端的低复杂性和部分响应的高容错性。为进一步降低联合译码的误比特率，将部分响应的Viterbi译码级联至MPA迭代译码过程中，即每次迭代过程中变量节点都会进行一次Viterbi译码，从而组成新型联合译码模块。仿真结果表明，改进后联合编译码模型能够有效降低系统对E_b/N₀的需求，同时保持较低的误比特率。

关键词: 稀疏码分多址, 消息传递算法, 部分响应, 联合调制解调

Abstract: Sparse code multiple access (SCMA) is a new type of non-orthogonal multiple access technology with overload communication. In the high signal to noise ratio(E_b/N₀)scenario, based on the message passing (MPA) decoding algorithm, the bit error rate performance is not ideal. Therefore, a joint modulation and decoding model based on partial response and sparse code division multiple access is proposed. The scheme inherits the low complexity of SCMA at the decoding end and the high fault tolerance of partial response. In order to further reduce the bit error rate of the joint decoding, the Viterbi decoding of the partial response is cascaded into the MPA iterative decoding process, that is, the variable node performs a Viterbi decoding during each iteration, to form a new joint decoding module. The theoretical and simulation results show that the improved joint coding and decoding model effectively reduces the system’s demand for E_b/N₀ and maintains a low bit error rate.

Key words: sparse code multiple access, message passing algorithm, partial response, joint detection and decoding

中图分类号:

TN929

刘梦, 刘威, 周志刚. 基于部分响应和SCMA的联合检测与译码算法[J]. 中国科学院大学学报, 2020, 37(5): 657-662.

LIU Meng, LIU Wei, ZHOU Zhigang. Joint detection and decoding algorithm based on partial response and SCMA[J]. , 2020, 37(5): 657-662.

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基于部分响应和SCMA的联合检测与译码算法

Joint detection and decoding algorithm based on partial response and SCMA

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