Abstract

This paper considers detection performance of linear sparse arrays in the presence of multiple source Direction-Of-Arrivals (DOA). A number of source DOAs greater than the number of physical array elements are randomly generated, without restriction on the angular separation. Two augmentation algorithms are considered before application of traditional spatial spectrum estimation algorithms: MVDR and MUSIC. Detection and false alarm statistics are generated from the spatial spectrum. MUSIC requires the knowledge on the number of source, which can be estimated from existing source number estimation algorithms. The effect of source number estimation errors on the detection performance is evaluated. Monte Carlo simulations are performed to validate this detection scheme.

Original languageEnglish (US)
Title of host publicationConference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
PublisherIEEE Computer Society
Pages1513-1517
Number of pages5
ISBN (Electronic)9781538639542
DOIs
StatePublished - Mar 1 2017
Event50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016 - Pacific Grove, United States
Duration: Nov 6 2016Nov 9 2016

Other

Other50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
CountryUnited States
CityPacific Grove
Period11/6/1611/9/16

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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