An improved greedy algorithm for sparse channel estimation

Geping Lin; Xiaochuan Ma; Shefeng Yan; Jincheng Lin

doi:10.1109/ICICIP.2015.7388173

An improved greedy algorithm for sparse channel estimation

Geping Lin, Xiaochuan Ma, Shefeng Yan, Jincheng Lin

CAS - Institute of Acoustics

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.
页	225-229
页数	5
ISBN（电子版）	9781479917174
DOI	https://doi.org/10.1109/ICICIP.2015.7388173
出版状态	已出版 - 20 1月 2016
已对外发布	是
活动	6th International Conference on Intelligent Control and Information Processing, ICICIP 2015 - Wuhan, Hubei, 中国期限: 26 11月 2015 → 28 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
市	Wuhan, Hubei
时期	26/11/15 → 28/11/15

访问文件

10.1109/ICICIP.2015.7388173

其它文件与链接

链接到 Scopus 的出版物

引用此

Lin, G., Ma, X., Yan, S., & Lin, J. (2016). An improved greedy algorithm for sparse channel estimation. 在 Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015 (页码 225-229). 文章 7388173 (Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICICIP.2015.7388173

Lin, Geping ; Ma, Xiaochuan ; Yan, Shefeng 等. / An improved greedy algorithm for sparse channel estimation. Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 页码 225-229 (Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015).

@inproceedings{3c72813568ff419da7e12b8f3187e14f,

title = "An improved greedy algorithm for sparse channel estimation",

abstract = "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.",

keywords = "compressed sensing, selective regularized orthogonal matching pursuit, sparse channel estimation, water acoustic communication",

author = "Geping Lin and Xiaochuan Ma and Shefeng Yan and Jincheng Lin",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015 ; Conference date: 26-11-2015 Through 28-11-2015",

year = "2016",

month = jan,

day = "20",

doi = "10.1109/ICICIP.2015.7388173",

language = "English",

series = "Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "225--229",

booktitle = "Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015",

address = "United States",

}

Lin, G, Ma, X, Yan, S & Lin, J 2016, An improved greedy algorithm for sparse channel estimation. 在 Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015., 7388173, Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015, Institute of Electrical and Electronics Engineers Inc., 页码 225-229, 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015, Wuhan, Hubei, 中国, 26/11/15. https://doi.org/10.1109/ICICIP.2015.7388173

An improved greedy algorithm for sparse channel estimation. / Lin, Geping; Ma, Xiaochuan; Yan, Shefeng 等.
Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 页码 225-229 7388173 (Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - An improved greedy algorithm for sparse channel estimation

AU - Lin, Geping

AU - Ma, Xiaochuan

AU - Yan, Shefeng

AU - Lin, Jincheng

PY - 2016/1/20

Y1 - 2016/1/20

N2 - 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.

AB - 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.

KW - compressed sensing

KW - selective regularized orthogonal matching pursuit

KW - sparse channel estimation

KW - water acoustic communication

UR - http://www.scopus.com/inward/record.url?scp=84963801090&partnerID=8YFLogxK

U2 - 10.1109/ICICIP.2015.7388173

DO - 10.1109/ICICIP.2015.7388173

M3 - Conference contribution

AN - SCOPUS:84963801090

T3 - Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015

SP - 225

EP - 229

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015

Y2 - 26 November 2015 through 28 November 2015

ER -

Lin G, Ma X, Yan S, Lin J. An improved greedy algorithm for sparse channel estimation. 在 Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015. Institute of Electrical and Electronics Engineers Inc. 2016. 页码 225-229. 7388173. (Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015). doi: 10.1109/ICICIP.2015.7388173

An improved greedy algorithm for sparse channel estimation

摘要

出版系列

会议

访问文件

其它文件与链接

指纹

引用此