• DocumentCode
    2359746
  • Title

    A new low-complexity super-resolution technique to localize two closely-spaced plane-wave sources

  • Author

    Souden, Mehrez ; Affes, Sofiène ; Benesty, Jacob

  • Author_Institution
    Univ. du Quebec, Montreal
  • fYear
    2007
  • fDate
    17-20 June 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    We propose a new simple and accurate approach to localize two equipowered plane-wave sources (i.e., harmonics) using a uniform linear array (ULA) of sensors. We exploit the particular form of the covariance matrix jointly with a least square fitting (LSF) to derive new simple closed-form expressions for the directions of arrival (or harmonics in general). Simulation results demonstrate that resorting to this new method, mainly in the case of very low angular separation, and even with a limited number of sensors, leads to highly accurate results while requiring low computational complexity.
  • Keywords
    computational complexity; covariance matrices; direction-of-arrival estimation; least squares approximations; computational complexity; covariance matrix; least square fitting; plane-wave sources; super-resolution technique; Computational complexity; Covariance matrix; Direction of arrival estimation; Jacobian matrices; Least squares methods; Satellites; Sensor arrays; Signal resolution; Spatial resolution; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Advances in Wireless Communications, 2007. SPAWC 2007. IEEE 8th Workshop on
  • Conference_Location
    Helsinki
  • Print_ISBN
    978-1-4244-0955-6
  • Electronic_ISBN
    978-1-4244-0955-6
  • Type

    conf

  • DOI
    10.1109/SPAWC.2007.4401294
  • Filename
    4401294