微型机与应用Issue(18)：59-61,3.
基于压缩感知的多载波系统信道估计研究
Research on multicarrier system channel estimation based on compressed sensing
杨亚军 1蒋茜 1曹士坷1
作者信息
- 1. 南京邮电大学 通信与信息工程学院，江苏 南京 210003
- 折叠
摘要
Abstract
A novel method of MC-CDMA multicarrier systems channel estimation based on compressed sensing (CS) is proposed in sparse multicarrier systems channel. Signal adaptive matching pursuit (SAMP) is a recovery algorithm. This paper conducts a detailed research on the design principle and realization of this algorithm. Simulated results show that channel estimation mean square error(MSE)and bit error rate(BER) of SAMP algorithm is less than that of traditional channel estimation method and OMP algorithm based on compressed sensing. In multicarrier system channel of unknown sparseness,this algorithm not only can obtain good channel estimation performance, but also can reduce complexity of the system.关键词
压缩感知/MC-CDMA/信道估计/SAMPKey words
compressed sensing/MC-CDMA/channel estimation/SAMP分类
电子信息工程引用本文复制引用
杨亚军,蒋茜,曹士坷..基于压缩感知的多载波系统信道估计研究[J].微型机与应用,2015,(18):59-61,3.
