Design and analysis of multi-coset arrays

James D. Krieger, Yuval Kochman, Gregory W. Wornell

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

9 Scopus citations

Abstract

An efficient sparse antenna array architecture is developed for coherent imaging of sparse but otherwise unknown scenes. In this architecture, the array elements form a periodic nonuniform pattern. Using analysis that explicitly takes into account the presence of noise, we develop an efficient pattern design procedure based on co-arrays, describe an efficient scene support recovery algorithm as part of image reconstruction in the form of a modification to the MUSIC algorithm, and discuss a failure detection technique based on evaluating 'back-projection' error. Since our development exploits a close connection to multi-coset sampling of bandlimited waveforms, our results may in turn may also be useful in the design of those systems.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages3781-3785
Number of pages5
DOIs
StatePublished - 18 Oct 2013
Event2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada
Duration: 26 May 201331 May 2013

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Country/TerritoryCanada
CityVancouver, BC
Period26/05/1331/05/13

Keywords

  • MUSIC algorithm
  • antenna arrays
  • compressed sensing
  • millimeter-wave imaging
  • sparse sampling

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