Continuous sparse recovery for direction of arrival estimation with co-prime arrays

Zhao Tan, Arye Nehorai, Yonina C. Eldar

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

3 Scopus citations

Abstract

We consider the problem of direction of arrival (DOA) estimation using a newly proposed structure of co-prime arrays. A continuous sparse recovery method is implemented in order to increase resolution. We show that in the noiseless case one can theoretically detect up to MN/2 sources with only 2M+N sensors via continuous sparse recovery. The noise statistics of co-prime arrays are also analyzed to demonstrate the robustness of the proposed optimization scheme. Using numerical examples, we show the superiority of the proposed method.

Original languageEnglish
Title of host publication2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014
PublisherIEEE Computer Society
Pages393-396
Number of pages4
ISBN (Print)9781479914814
DOIs
StatePublished - 2014
Event2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014 - A Coruna, Spain
Duration: Jun 22 2014Jun 25 2014

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
ISSN (Electronic)2151-870X

Conference

Conference2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014
Country/TerritorySpain
CityA Coruna
Period06/22/1406/25/14

Keywords

  • Direction of arrival estimation
  • co-prime arrays
  • continuous sparse recovery method

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