Broadband underwater source localization by solving basis pursuit de-noising using coordinate descent search

Chunshan Liu; Teyan Chen; Yuriy V. Zakharov

doi:10.1109/ISWCS.2010.5624519

Broadband underwater source localization by solving basis pursuit de-noising using coordinate descent search

Chunshan Liu^*, Teyan Chen, Yuriy V. Zakharov

^*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

Underwater localization of multiple acoustic sources is important for underwater communication networks. As the number of sources is much smaller than the number of potential source positions, sparse signal representation can be adopted. In this paper, we propose a new sparsity based matched field (MF) processing method to solve the underwater source localization problem. The proposed method is based on solving the basis pursuit de-noising (BPDN) problem for multi-frequency signals. An efficient algorithm based on homotopy approach and coordinate descent optimization is used to find the BPDN solution. The performance is evaluated by applying this technique to real data obtained in the underwater acoustic experiment SWellEx-96. It is shown that this method can accurately locate multiple sources. It outperforms other MF approaches in resolving sources positioned very closely to each other, tolerance to noise and capability of locating multiple sources.

Original language	English
Title of host publication	Proceedings of the 2010 7th International Symposium on Wireless Communication Systems, ISWCS'10
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-5
Number of pages	5
ISBN (Print)	9781424463169
DOIs	https://doi.org/10.1109/ISWCS.2010.5624519
Publication status	Published - 2010
Externally published	Yes
Event	2010 7th International Symposium on Wireless Communication Systems, ISWCS'10 - York, United Kingdom Duration: 19 Sept 2010 → 22 Sept 2010

Other

Other	2010 7th International Symposium on Wireless Communication Systems, ISWCS'10
Country/Territory	United Kingdom
City	York
Period	19/09/10 → 22/09/10

Keywords

BPDN
Coordinate descent
Homotopy
Matched-field processing
MFP
Multi-source localization
Sparse
Underwater acoustic

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10.1109/ISWCS.2010.5624519

Cite this

Liu, C., Chen, T., & Zakharov, Y. V. (2010). Broadband underwater source localization by solving basis pursuit de-noising using coordinate descent search. In Proceedings of the 2010 7th International Symposium on Wireless Communication Systems, ISWCS'10 (pp. 1-5). Article 5624519 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ISWCS.2010.5624519

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title = "Broadband underwater source localization by solving basis pursuit de-noising using coordinate descent search",

abstract = "Underwater localization of multiple acoustic sources is important for underwater communication networks. As the number of sources is much smaller than the number of potential source positions, sparse signal representation can be adopted. In this paper, we propose a new sparsity based matched field (MF) processing method to solve the underwater source localization problem. The proposed method is based on solving the basis pursuit de-noising (BPDN) problem for multi-frequency signals. An efficient algorithm based on homotopy approach and coordinate descent optimization is used to find the BPDN solution. The performance is evaluated by applying this technique to real data obtained in the underwater acoustic experiment SWellEx-96. It is shown that this method can accurately locate multiple sources. It outperforms other MF approaches in resolving sources positioned very closely to each other, tolerance to noise and capability of locating multiple sources.",

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Liu, C, Chen, T & Zakharov, YV 2010, Broadband underwater source localization by solving basis pursuit de-noising using coordinate descent search. in Proceedings of the 2010 7th International Symposium on Wireless Communication Systems, ISWCS'10., 5624519, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-5, 2010 7th International Symposium on Wireless Communication Systems, ISWCS'10, York, United Kingdom, 19/09/10. https://doi.org/10.1109/ISWCS.2010.5624519

Broadband underwater source localization by solving basis pursuit de-noising using coordinate descent search. / Liu, Chunshan; Chen, Teyan; Zakharov, Yuriy V.
Proceedings of the 2010 7th International Symposium on Wireless Communication Systems, ISWCS'10. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2010. p. 1-5 5624519.

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

TY - GEN

T1 - Broadband underwater source localization by solving basis pursuit de-noising using coordinate descent search

AU - Liu, Chunshan

AU - Chen, Teyan

AU - Zakharov, Yuriy V.

PY - 2010

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N2 - Underwater localization of multiple acoustic sources is important for underwater communication networks. As the number of sources is much smaller than the number of potential source positions, sparse signal representation can be adopted. In this paper, we propose a new sparsity based matched field (MF) processing method to solve the underwater source localization problem. The proposed method is based on solving the basis pursuit de-noising (BPDN) problem for multi-frequency signals. An efficient algorithm based on homotopy approach and coordinate descent optimization is used to find the BPDN solution. The performance is evaluated by applying this technique to real data obtained in the underwater acoustic experiment SWellEx-96. It is shown that this method can accurately locate multiple sources. It outperforms other MF approaches in resolving sources positioned very closely to each other, tolerance to noise and capability of locating multiple sources.

AB - Underwater localization of multiple acoustic sources is important for underwater communication networks. As the number of sources is much smaller than the number of potential source positions, sparse signal representation can be adopted. In this paper, we propose a new sparsity based matched field (MF) processing method to solve the underwater source localization problem. The proposed method is based on solving the basis pursuit de-noising (BPDN) problem for multi-frequency signals. An efficient algorithm based on homotopy approach and coordinate descent optimization is used to find the BPDN solution. The performance is evaluated by applying this technique to real data obtained in the underwater acoustic experiment SWellEx-96. It is shown that this method can accurately locate multiple sources. It outperforms other MF approaches in resolving sources positioned very closely to each other, tolerance to noise and capability of locating multiple sources.

KW - BPDN

KW - Coordinate descent

KW - Homotopy

KW - Matched-field processing

KW - MFP

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KW - Sparse

KW - Underwater acoustic

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M3 - Conference proceeding contribution

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EP - 5

BT - Proceedings of the 2010 7th International Symposium on Wireless Communication Systems, ISWCS'10

PB - Institute of Electrical and Electronics Engineers (IEEE)

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Y2 - 19 September 2010 through 22 September 2010

ER -

Broadband underwater source localization by solving basis pursuit de-noising using coordinate descent search

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