A Low-Complexity SNR Estimation Algorithm Based on Frozen Bits of Polar Codes

被引：13
|
作者：
Li, Yijin [1 ]
Liu, Rongke [1 ]
Wang, Runxin [1 ,2 ]
机构：
[1] Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China
[2] DOCOMO Beijing Commun Labs Co Ltd, Beijing 100086, Peoples R China
来源：
IEEE COMMUNICATIONS LETTERS | 2016年 / 20卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Polar codes; frozen bits; FBER; SNR estimation; AWGN CHANNEL;
D O I：
10.1109/LCOMM.2016.2605106
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Polar codes attract a lot of attention due to their provably capacity-achieving property with low encoding and decoding complexity. Frozen bits, the special structure of polar codes, are helpful for signal-to-noise ratio (SNR) estimation. A novel SNR estimation algorithm based on frozen bits is proposed in this letter. In the proposed algorithm, the mapping from SNR to frozen bit error rate is theoretically analyzed when code length is infinite and approximately calculated when code length is finite. Then, SNR can be estimated according to the mapping. Simulation results show that the proposed algorithm has better estimation performance with a relatively lower complexity.
引用
收藏
页码：2354 / 2357
页数：4
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