Blind recognition algorithm of polar code based on information matrix estimation

被引：0
作者：
Liu J. [1 ,2 ]
Zhang T. [1 ,2 ]
Bai H. [1 ,2 ]
Ye S. [1 ,2 ]
机构：
[1] School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing
[2] Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications, Chongqing
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2022年 / 44卷 / 02期
关键词：
Blind recognition; Non-cooperative signal processing; Polar code; Zero mean ratio;
D O I：
10.12305/j.issn.1001-506X.2022.02.38
中图分类号：
学科分类号：
摘要：
In order to solve the problem of poor anti-noise performance in the current polar code length recognition, a blind recognition algorithm of polar code parameters based on information matrix estimation is proposed. In this algorithm, the inverse matrix of the polar code generation matrix is used to multiply with the code word matrix constructed by the code word bit stream to obtain the estimated information matrix. In the case of no error code, the bit rate is obtained according to the information contained in the analysis matrix, and its distribution is used to identify the code length, bit number and position distribution. In the case of bit error, zero mean ratio measurement is introduced to identify the code length according to the peak value. Finally, by using the analysis matrix and setting the decision threshold, the information bit number and position distribution are identified. The simulation results show that the recognition performance of the proposed algorithm for code length is improved. For the polar code with parameters of (64, 30), the recognition rate of code length can still reach 80% when the bit error rate is as high as 1.06×10-1. © 2022, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：668 / 676
页数：8
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