高迅1,
董振威1,
刘建航2,
崔学荣1
1.中国石油大学(华东)海洋与空间信息学院 青岛 266580
2.中国石油大学(华东)计算机科学与技术学院 青岛 266580
基金项目:国家重点研发计划(2017YFC1405203)，国家自然科学基金(61972417, 61902431, 91938204)，中央高校基本科研业务费专项资金(19CX05003A-4)
详细信息
作者简介:李世宝：男，1978年生，硕士、副教授，研究方向为移动计算、信道编码等
高迅：男，1996年生，硕士生，研究方向为信道编码
董振威：男，1997年生，硕士生，研究方向为信道编码
刘建航：男，1978年生，博士、副教授，研究方向为车联网等
崔学荣：男，1979年生，博士、教授，研究方向为智能感知等
通讯作者:李世宝 lishibao@upc.edu.cn
中图分类号:TN911.22计量
文章访问数:181
HTML全文浏览量:119
PDF下载量:33
被引次数:0
出版历程
收稿日期:2020-11-30
修回日期:2021-06-11
网络出版日期:2021-06-24
刊出日期:2021-11-23
A Puncturing Algorithm of Polar Code Based on Gaussian Approximation
Shibao LI1,,,Xun GAO1,
Zhenwei DONG1,
Jianhang LIU2,
Xuerong CUI1
1. College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China
2. College of Computer Science and Technology, China University of Petroleum (East China), Qingdao 266580, China
Funds:The National Key R&D Program of China (2017YFC1405203), The National Natural Science Foundation of China (61972417, 61902431, 91938204), The Fundamental Research Funds for the Central Universities (19CX05003A-4)
摘要
摘要:现有的极化码打孔算法均未考虑信道构造过程对算法性能的影响，针对这一问题，该文提出一种基于高斯近似的极化码打孔算法(GAPPC)。首先将高斯近似作为极化码构造算法，分析高斯近似与打孔算法的关系，以降低信道构造输出值为目标，引入高斯修正因子，推导出改进的高斯近似函数。然后将改进的高斯近似函数引入信道构造，对极化子信道进行排序获得信道可靠性排序集合。最后依据信道容量关系确定映射规则，选出打孔比特集合和冻结比特集合，完成打孔极化码的构建。实验结果显示，在不同的码长和码率下，误帧率和误码率均获得显著降低。
关键词:极化码/
速率兼容/
打孔/
高斯近似
Abstract:The influence of channel construction process on the algorithm performance is not considered in the existing polar code puncturing algorithms. To solve this problem, a Puncturing algorithm of Polar Code based on Gaussian Approximation (GAPPC) is proposed. Firstly, using Gaussian approximation for channel construction of polar code and analyzing the relationship between Gaussian approximation and puncturing algorithm, the modified Gaussian approximation function is derived to reduce the output value of channel construction with introduced Gaussian correction factors. Then the ordered channel reliability set is obtained by ordering the polarization subchannels under the channel construction with the modified Gaussian approximation function. Finally, the mapping rule is determined according to the relationship of channel capacity, and the puncturing bit set and frozen bit set are selected so that the puncturing polar code is completed. Experimental results show that the frame error rate and bit error rate are significantly reduced under different code lengths and bit rates.
Key words:Polar code/
Rate-compatible/
Puncturing/
Gaussian Approximation(GA)
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