• DocumentCode
    714831
  • Title

    Array aperture extrapolation using sparse reconstruction

  • Author

    Anitori, Laura ; van Rossum, Wim ; Huizing, Albert

  • Author_Institution
    TNO The Hague, Netherlands
  • fYear
    2015
  • fDate
    10-15 May 2015
  • Abstract
    In this paper we present some preliminary results on antenna array extrapolation for Direction Of Arrival (DOA) estimation using Sparse Reconstruction (SR). The objective of this study is to establish wether it is possible to achieve with an array of a given physical length the performance (in terms of accuracy, resolution and sidelobe level) of an equivalent larger array by using SR. The difference between our work and previous publications on DOA estimation using SR lies in the fact that we do not use SR as a beamformer, but instead we use the sparse solution for aperture extrapolation. We adopt an approach similar to the one of Swingler and Walker in [1], where the extrapolated sensor data are first tapered and then beamformed to suppress sidelobes of strong interfering targets, resulting in improved detection of weak targets.
  • Keywords
    array signal processing; direction-of-arrival estimation; extrapolation; signal reconstruction; signal resolution; DOA estimation; array aperture extrapolation; beamformer; direction of arrival estimation; extrapolated sensor data; sparse reconstruction; Accuracy; Arrays; Direction-of-arrival estimation; Extrapolation; Signal resolution; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference (RadarCon), 2015 IEEE
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4799-8231-8
  • Type

    conf

  • DOI
    10.1109/RADAR.2015.7131002
  • Filename
    7131002