• DocumentCode
    2941487
  • Title

    Music DOA estimation with compressive sensing and/or compressive arrays

  • Author

    Jouny, Ismail

  • Author_Institution
    Lafayette Coll., Easton, PA, USA
  • fYear
    2011
  • fDate
    3-8 July 2011
  • Firstpage
    2016
  • Lastpage
    2019
  • Abstract
    This paper examines the pros and cons of compressed sensing in estimating the direction of arrival (DOA) of sparse signals impinging on an antenna array. The observed signal received by each antenna element may be compressed (temporally [2]) assuming that it is sparse (a valid assumption when dealing with real radar target signature), and the arrays receiving these signals may also be compressed (spatially) by compressing the array manifold from M antennas to Ms antennas according to some random sampling scheme [1,3]. The performance of both approaches is assessed via simulations involving real and synthetic radar scattering signatures obtained using stepped frequency radar. Of particular interest is the impact on array resolution and the ability of compressively sampled antenna array to resolve correlated arrivals.
  • Keywords
    antenna arrays; array signal processing; direction-of-arrival estimation; radar antennas; antenna array; array manifold; array resolution; compressive arrays; compressive sensing; direction of arrival; music DOA estimation; radar scattering signatures; stepped frequency radar; Antenna arrays; Array signal processing; Compressed sensing; Direction of arrival estimation; Multiple signal classification; Radar antennas; Signal resolution; DOA; antenna arrays; compressive sampling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (APSURSI), 2011 IEEE International Symposium on
  • Conference_Location
    Spokane, WA
  • ISSN
    1522-3965
  • Print_ISBN
    978-1-4244-9562-7
  • Type

    conf

  • DOI
    10.1109/APS.2011.5996902
  • Filename
    5996902