An efficient compressed sensing-based DOA estimation method in nested MIMO sonar

Jie Yang, Yixin Yang, Bo Lei

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

2 Scopus citations

Abstract

The maximum number of targets that can be uniquely identified by the traditional MIMO sonar is limited by the number of virtual sensors. To alleviate this problem, we extend the idea of nested array to the case of MIMO sonar. To utilize the enhanced degrees of freedom (DOF) provided by the nested MIMO sonar, an efficient direction of arrival (DOA) estimation method is proposed based on compressed sensing (CS), in which we exploit weighted 11 minimization algorithm to achieve high resolution and suppress spurious peaks. Simulation results verify the usefulness of the proposed method under various situations.

Original languageEnglish
Title of host publicationOCEANS 2017 - Aberdeen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781509052783
DOIs
StatePublished - 25 Oct 2017
EventOCEANS 2017 - Aberdeen - Aberdeen, United Kingdom
Duration: 19 Jun 201722 Jun 2017

Publication series

NameOCEANS 2017 - Aberdeen
Volume2017-October

Conference

ConferenceOCEANS 2017 - Aberdeen
Country/TerritoryUnited Kingdom
CityAberdeen
Period19/06/1722/06/17

Keywords

  • compressed sensing
  • degrees of freedom
  • direction of arrival
  • MIMO sonar
  • nested array

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