• DocumentCode
    178297
  • Title

    Doa estimation exploiting coprime arrays with sparse sensor spacing

  • Author

    Zhang, Yimin D. ; Si Qin ; Amin, Moeness G.

  • Author_Institution
    Center for Adv. Commun., Villanova Univ., Villanova, PA, USA
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    2267
  • Lastpage
    2271
  • Abstract
    In this paper, we propose effective coprime array configurations in which the minimum interelement spacing is much larger than the typical half-wavelength requirement. Such configurations are important in many applications where the half-wavelength requirement cannot be met due to the physical sensors size or to avoid spatial oversampling in wideband operations. The application of such coprime arrays in direction-of-arrival estimations is examined using different algorithms.
  • Keywords
    compressed sensing; direction-of-arrival estimation; DOA estimation; compressive sensing; coprime arrays; direction-of-arrival estimations; minimum interelement spacing; sparse sensor spacing; Antennas; Covariance matrices; Direction-of-arrival estimation; Estimation; Multiple signal classification; Sensor arrays; Vectors; Coprime array; compressive sensing; difference co-array; direction-of-arrival estimation; sparse array;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854003
  • Filename
    6854003