A class of turbo-like LDPC codes and their decoding based on neural network

被引：0
|
作者：
Zhao, ZJ [1 ]
Wu, XJ [1 ]
Yang, J [1 ]
机构：
[1] Shandong Univ, Sch Informat Sci & Engn, Shandong, Peoples R China
来源：
IEEE 2005 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications Proceedings, Vols 1 and 2 | 2005年
关键词：
turbo codes; LDPC codes; sum-product algorithm; turbo-like codes; message passing; sparse matrix; self-loop; Hopfield network;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Turbo codes and LDPC codes are both superior to other error correcting codes. These two families of codes have some similarities. It seems a good idea to design new codes combining these two codes. Through the analysis of turbo codes, we can consider turbo codes as block codes and find their matrix H. In this paper, we give a new class of turbo-like LDPC codes combining the advantages of turbo and LDPC codes and a decoding method based on neural network. A lot of simulations have been made and the results reveal that these codes have robuster performance than turbo codes.
引用
收藏
页码：961 / 965
页数：5
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