Parity-Check Polarization-Adjusted Convolutional Coding

被引：1

作者：

Yu, Qingping ^{[1
]}

Zhang, You ^{[1
]}

Luo, Renze ^{[1
]}

Wang, Longye ^{[1
]}

Li, Xingwang ^{[2
,3
]}

机构：

[1] Southwest Petr Univ, Sch Elect Engineer & Informat, Chengdu 610500, Peoples R China

[2] Henan Polytech Univ, Sch Phys & Elect Informat Engn, Jiaozuo 454003, Peoples R China

[3] Jiaozuo Key Lab Crow Sensing Network, Jiaozuo 454003, Peoples R China

来源：

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2024年 / E107A卷 / 02期

关键词：

PAC codes; parity check; polar codes; POLAR CODES;

D O I：

10.1587/transfun.2023EAL2036

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Polarization-adjusted convolutional (PAC) codes have better error-correcting performance than polar codes mostly because of the improved weight distribution brought by the convolutional pre-transformation. In this paper, we propose the parity check PAC (PC-PAC) codes to further improve error-correcting performance of PAC codes. The design principle is to establish parity check functions between bits with distinct row weights, such that information bits of lower reliability are re-protected by the PC relation. Moreover, an algorithm to select which bits to be involved in parity-check functions is also proposed to make sure that the constructed codes have fewer minimum-weight codewords. Simulation results show that the proposed PC-PAC codes can achieve nearly 0.2 dB gain over PAC codes at frame error rate (FER) about 10(-3) codes.

引用

页码：187 / 191

页数：5

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