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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	225-229
Number of pages	5
ISBN (Electronic)	9781479917174
DOIs	https://doi.org/10.1109/ICICIP.2015.7388173
Publication status	Published - 20 Jan 2016
Externally published	Yes
Event	6th International Conference on Intelligent Control and Information Processing, ICICIP 2015 - Wuhan, Hubei, China Duration: 26 Nov 2015 → 28 Nov 2015

Publication series

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

Conference

Conference	6th International Conference on Intelligent Control and Information Processing, ICICIP 2015
Country/Territory	China
City	Wuhan, Hubei
Period	26/11/15 → 28/11/15

Keywords

compressed sensing
selective regularized orthogonal matching pursuit
sparse channel estimation
water acoustic communication

Access to Document

10.1109/ICICIP.2015.7388173

Cite this

Lin, G., Ma, X., Yan, S., & Lin, J. (2016). An improved greedy algorithm for sparse channel estimation. In Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015 (pp. 225-229). Article 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 et al. / 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. pp. 225-229 (Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015).

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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",

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Lin, G, Ma, X, Yan, S & Lin, J 2016, An improved greedy algorithm for sparse channel estimation. in 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., pp. 225-229, 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015, Wuhan, Hubei, China, 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 et al.
Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 225-229 7388173 (Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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. In Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 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

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