极化码编译码算法的研究其仿真  

Study on simulation of polarization coding and decoding algorithm

作　　者：朱晓峰 刘陕陕 谭跃跃 Zhu Xiaofeng;Liu Shanshan;Tan Yueyue(Department of Computer and Information,Hohai University,Nanjing 211100,China)

机构地区：[1]河海大学计算机与信息学院,南京211100

出　　处：《电子测量技术》2020年第16期82-86,共5页Electronic Measurement Technology

摘　　要：作为信道编码的一种,极化码是目前为已被证明能达到香农极限的编码形式,其较为简洁的线性编码形式和优秀的译码性能,使其在5G通讯中发挥着重要的作用。主要研究目的就是探究极化码在不同的译码算法下译码性能的表现差异。首先,介绍了极化码编码的原理,包括高斯构造。其次介绍了极化码的译码流程及其对应的译码算法和对应的快速算法。最后,借助MATLAB工具,仿真了极化码在高斯信道中传输,基于不同的译码算法,不同信噪比下译码性能的优劣。仿真结果表明,随着信噪比提升,译码的误块率可以得到改善。同时,不同的译码算法中,串行抵消列表译码(SCL)算法的性能也要好于传统串行抵消译码(SC)算法,但计算过程也更加复杂。As a kind of channel encoding, polarization code is an encoding form that has been proved to reach Shannon limit. Its relatively simple linear encoding form and excellent decoding performance make it play an important role in 5 G communication. The main purpose of this paper is to explore the differences in decoding performance of polarize codes under different decoding algorithms. Firstly, the principle of polarization-code coding is introduced, including Gaussian structure. Secondly, the decoding process of polarization code and its corresponding decoding algorithm and corresponding fast algorithm are introduced. Finally, with the help of MATLAB, the polarization code in Gaussian channel transmission simulation, based on different decoding algorithms, different SNR decoding performance. Simulation results show that the block error rate can be improved with the increase of SNR. At the same time, among the different decoding algorithms, the performance of SCL algorithm is better than that of traditional SC algorithm, but the calculation process is more complex.

关 键 词：极化码 高斯构造 串行抵消列表算法 串行抵消算法 

分 类 号：TN911.2[电子电信—通信与信息系统]