基于编码矩阵结构特征的非删余极化码参数盲识别算法

王垚; 王翔; 杨国东; 黄知涛

doi:10.11959/j.issn.1000-436x.2022033

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基于编码矩阵结构特征的非删余极化码参数盲识别算法

学术论文 | 更新时间：2024-06-05

- 基于编码矩阵结构特征的非删余极化码参数盲识别算法
- Recognition algorithm of non punctured polarization codes based on structural characteristics of coding matrix
- 通信学报 2022年43卷第2期页码：22-33
- 作者机构：
  
  1. 国防科技大学电子科学学院，湖南长沙 410073
  2. 陆军工程大学通信士官学校，重庆 400036
  3. 中国人民解放军92001部队，山东青岛 266023
- 作者简介：
  
  [ "王垚（1991-），男，河北石家庄人，国防科技大学博士生，主要研究方向为信道编码盲识别、协议分析等" ]
  [ "王翔（1985-），男，福建福州人，博士，国防科技大学副教授，主要研究方向为航天电子侦察、信号处理、模式识别等" ]
  [ "杨国东（1993-），男，云南祥云人，中国人民解放军 92001 部队助理工程师，主要研究方向为电子信号分析、多源数据挖掘等" ]
  [ "黄知涛（1976-），男，湖北荆州人，博士，国防科技大学教授、博士生导师，主要研究方向为航天电子侦察、雷达/通信信号处理、综合电子战系统与技术等" ]
- 基金信息：
  
  湖南省自然科学基金创新群体资助项目(2019JJ10004)
- DOI：10.11959/j.issn.1000-436x.2022033
  中图分类号： TN911.7
- 网络首发：2022-02，
  
  纸质出版：2022-02-25
- 稿件说明：
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王垚, 王翔, 杨国东, 等. 基于编码矩阵结构特征的非删余极化码参数盲识别算法[J]. 通信学报, 2022,43(2):22-33.

Yao WANG, Xiang WANG, Guodong YANG, et al. Recognition algorithm of non punctured polarization codes based on structural characteristics of coding matrix[J]. Journal on Communications, 2022, 43(2): 22-33.
王垚, 王翔, 杨国东, 等. 基于编码矩阵结构特征的非删余极化码参数盲识别算法[J]. 通信学报, 2022,43(2):22-33. DOI： 10.11959/j.issn.1000-436x.2022033.

Yao WANG, Xiang WANG, Guodong YANG, et al. Recognition algorithm of non punctured polarization codes based on structural characteristics of coding matrix[J]. Journal on Communications, 2022, 43(2): 22-33. DOI： 10.11959/j.issn.1000-436x.2022033.

摘要

针对目前标准非删余极化码盲识别存在的算法复杂、误码适应能力不足等问题，首先证明了能够表征极化码码长、码率关系，区分信息子信道和冻结子信道的定理与命题，并基于此提出了一种高效的盲识别算法。该算法只需设定可能的最大码长，构建对应的软判决码字矩阵与克罗内克矩阵，利用所证明的定理与命题对两矩阵校验关系进行判决，估计码率及冻结比特置，最终完成参数的识别。在校验关系判决中，引入平均似然差作为检验量，基于其理论概率分布与极小化极大准则确定判决门限。仿真结果表明，推导的定理、命题与仿真结果一致，当信噪比为6 dB时，对于码长为1 024的极化码，其参数识别率仍接近100%，识别性能和计算复杂度均优于现有软判决算法。

Abstract

In order to solve the problems of complexity and poor error adaptability in the blind recognition of standard non-punctured polarization codes

the theorems and propositions that could characterize the relationship between the code length and code rate

and distinguish information subchannel and frozen subchannel were proved.Based on the theorem and proposition

an efficient blind recognition algorithm was proposed.The proposed algorithm only needed to set the possible maximum code length

and the corresponding soft decision codewords matrixes and Kronecker matrixes were constructed.Based on the theorem and proposition proved

the check relationship between the two matrices was judged and the code rate and frozen bit position were estimated.The average likelihood difference was introduced as the test quantity

and the decision threshold was determined based on its theoretical probability distribution and minimax criterion.The simulation results show that the deduced theorem and propositions are consistent with the simulation results.Under the signal-to-noise ratio of 6 dB and code length of 1 024

the parameter recognition rate is still close to 100%.The recognition performance and computational complexity are better than the existing soft decision algorithms.

关键词

Keywords

references

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