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 proceedingConference proceeding contributionpeer-review

2 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 languageEnglish
Title of host publicationProceedings of the 2010 7th International Symposium on Wireless Communication Systems, ISWCS'10
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-5
Number of pages5
ISBN (Print)9781424463169
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 7th International Symposium on Wireless Communication Systems, ISWCS'10 - York, United Kingdom
Duration: 19 Sept 201022 Sept 2010

Other

Other2010 7th International Symposium on Wireless Communication Systems, ISWCS'10
Country/TerritoryUnited Kingdom
CityYork
Period19/09/1022/09/10

Keywords

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

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