An improved greedy algorithm for sparse channel estimation

Geping Lin, Xiaochuan Ma, Shefeng Yan, Jincheng Lin

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Sparse channel estimation has attracted much attention these years, especially in the area of under water acoustic communication. Compressed sensing methods are popular recently because of their efficiency and stability. In this paper, a stable and fast algorithm termed Selective Regularized Orthogonal Matching Pursuit (SROMP) is proposed based on Orthogonal Matching Pursuit (OMP). By numerical experiments, performance of this algorithm is shown in comparison to conventional LS(least square)algorithm, basic OMP and Stagewise OMP. Simulation results indicate that this methods can estimate sparse channel effectively and accurately outperforming LS and OMP.

源语言英语
主期刊名Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015
出版商Institute of Electrical and Electronics Engineers Inc.
225-229
页数5
ISBN(电子版)9781479917174
DOI
出版状态已出版 - 20 1月 2016
已对外发布
活动6th International Conference on Intelligent Control and Information Processing, ICICIP 2015 - Wuhan, Hubei, 中国
期限: 26 11月 201528 11月 2015

出版系列

姓名Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015

会议

会议6th International Conference on Intelligent Control and Information Processing, ICICIP 2015
国家/地区中国
Wuhan, Hubei
时期26/11/1528/11/15

指纹

探究 'An improved greedy algorithm for sparse channel estimation' 的科研主题。它们共同构成独一无二的指纹。

引用此