计算机应用与软件2016，Vol.33Issue(11)：105-107,134,4.DOI:10.3969/j.issn.1000-386x.2016.11.025
CoSaMP改进算法在信道估计中的应用
APPLYING IMPROVED COSAMP ALGORITHM IN CHANNEL ESTIMATION
任晓奎 1刘星宇1
作者信息
- 1. 辽宁工程技术大学电子与信息工程学院 辽宁 葫芦岛 125105
- 折叠
摘要
Abstract
Compressive sampling matching pursuit (CoSaMP)algorithm,as one of the typical algorithms in channel estimation of com-pressed sensing,has not been able to solve the problem of channel sparsity acquisition.In order to solve this problem,this paper,by using the relationship between peak signal-to-noise ratio and the number of iterations,puts forward an improved algorithm.The algorithm can adaptively determine the number of iterations,so that effectively improves the efficiency of CoSaMP algorithm,and increases the feasibility of CoSaMP al-gorithm in actual channel estimation as well.关键词
压缩采样匹配追踪/压缩感知/信道估计/峰值信噪比Key words
Compressive sampling matching pursuit/Compressed sensing/Channel estimation/Peak signal-to-noise ratio分类
信息技术与安全科学引用本文复制引用
任晓奎,刘星宇..CoSaMP改进算法在信道估计中的应用[J].计算机应用与软件,2016,33(11):105-107,134,4.
