Source localization based on sparse spectral fitting and spatial filtering

Long Yang, Yixin Yang, Jiannan Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

A source localization based on sparse spectral fitting and spatial matrix filtering is proposed in this paper to localize the multiple targets which are closely spaced in the strong interference environment. Comparing with the traditional methods, the properties of interference suppression and high resolution of localization are verified by simulation and experimental results.

Original languageEnglish
Title of host publicationOCEANS 2016 MTS/IEEE Monterey, OCE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509015375
DOIs
StatePublished - 28 Nov 2016
Event2016 OCEANS MTS/IEEE Monterey, OCE 2016 - Monterey, United States
Duration: 19 Sep 201623 Sep 2016

Publication series

NameOCEANS 2016 MTS/IEEE Monterey, OCE 2016

Conference

Conference2016 OCEANS MTS/IEEE Monterey, OCE 2016
Country/TerritoryUnited States
CityMonterey
Period19/09/1623/09/16

Keywords

  • High resolution direction of arrival estimation
  • Interference suppression
  • Sparse spectral fitting
  • Spatial matrix filter

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