系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (10): 3293-3301.doi: 10.12305/j.issn.1001-506X.2023.10.34

• 通信与网络 • 上一篇    

一种基于软判决的非删余极化码参数识别算法

王垚1,2, 王聪1,3, 王翔1,*, 黄知涛1   

  1. 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 400035
    3. 海军航空大学信息融合研究所, 山东 烟台 264001
  • 收稿日期:2022-10-09 出版日期:2023-09-25 发布日期:2023-10-11
  • 通讯作者: 王翔
  • 作者简介:王垚 (1991—), 男, 博士研究生, 主要研究方向为信道编码盲识别、非合作通信、信号分析等
    王聪 (1987—), 男, 讲师, 博士, 主要研究方向为雷达/通信信号处理、模式识别等
    王翔 (1985—), 男, 副教授, 博士, 主要研究方向为航天电子侦察、信号处理、模式识别等
    黄知涛 (1976—), 男, 教授, 博士, 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
  • 基金资助:
    国防科技大学青年创新资助项目(18/19-QNCXJ)

Non-punctured polar code parameter recognition algorithm based on soft decision

Yao WANG1,2, Cong WANG1,3, Xiang WANG1,*, Zhitao HUANG1   

  1. 1. College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China
    2. Communications NCO Academy, Army Engineering University of PLA, Chongqing 400035, China
    3. Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, China
  • Received:2022-10-09 Online:2023-09-25 Published:2023-10-11
  • Contact: Xiang WANG

摘要:

现有非删余极化码参数识别算法默认冻结比特取值均为0, 不具备判断冻结比特取值的能力。针对该问题, 推导了码字矩阵与生成矩阵列向量之间存在的校验关系, 将比特位类型识别、冻结比特取值的判断转化为该校验关系的检验。在此基础上, 引入平均似然差作为统计量, 给出了统计量的理论分布及判决门限, 并利用判决结果中信息比特位占比随遍历码长变化的规律, 完成码率、码长等参数的识别。仿真实验表明, 相关性质的推导与实际情况一致, 所提算法在保持同一计算复杂度水平且不降低识别性能的基础上, 克服了现有方法无法识别冻结比特取值的不足。在信噪比为5.5 dB时, 对于码长为512的极化码, 算法识别率仍接近100%。

关键词: 非合作通信, 极化码, 非删余, 识别

Abstract:

The existing parameter recognition algorithms for non-punctured polar codes default the frozen bit values to 0, and do not have the ability to judge the frozen bit values. Aiming at this problem, the parity check relation between codeword matrix and column vectors of generator matrix is deduced, where the identification of bit type and the judgment of frozen bit value are converted into a test of the check relationship. Based on the above, the average likelihood difference is introduced as a statistic volume, and the theoretical distribution and decision threshold of the statistic volume are given. The algorithm uses the proportion of information positions in the decision result to identify the parameters such as code rate and code length. Simulation experiments show that the derivation of the relevant properties is consistent with the actual situation. The proposed algorithm overcomes the shortcomings of existing methods that cannot identify frozen bit values on the basis of the same computational complexity level and without reducing the recognition performance. When the signal to noise ratio is 5.5 dB, the recognition accuracy is still close to 100% for polar codes with a code length of 512 of the polar code.

Key words: non-cooperative communication, polar code, non-punctured, recognition

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