• DocumentCode
    3102523
  • Title

    Passive direction-of-arrival and range estimation for near-field sources

  • Author

    Swindlehurst, A.L. ; Kailath, T.

  • Author_Institution
    Inf. Syst. Lab., Stanford Univ., CA, USA
  • fYear
    1988
  • fDate
    3-5 Aug 1988
  • Firstpage
    123
  • Lastpage
    128
  • Abstract
    An algorithm for simultaneously estimating the range and bearing of multiple near-field sources is presented. The method is based on the application of signal subspace ideas to the spatial Wigner-Ville distribution approach originally presented by B.R. Breed and T.E. Posch (Proc. ICASSP´84, p.41B.9.1, 1984). The principal advantages of using signal-subspace methods are that the range/direction-of-arrival estimates are obtained with improved precision and resolution, and without computation or search of a complicated spectral surface. Additionally, these methods allow a simple and more effective extension of the spatial Wigner-Ville approach to cases in which noise and/or multiple signals are present. Simulations have shown that the algorithm performs well for a wide variety of test cases, and comparisons with the Cramer-Rao bound indicate near-optimal direction-of-arrival estimates
  • Keywords
    antenna arrays; antenna radiation patterns; antenna theory; estimation theory; noise; signal processing; Cramer-Rao bound; antenna arrays; antenna radiation patterns; bearing; multiple signals; near-field sources; noise; passive direction-of-arrival; precision; range estimation; resolution; signal subspace; spatial Wigner-Ville distribution; Antenna arrays; Aperture antennas; Azimuth; Computational modeling; Direction of arrival estimation; Frequency estimation; Laboratories; Sensor arrays; Signal resolution; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spectrum Estimation and Modeling, 1988., Fourth Annual ASSP Workshop on
  • Conference_Location
    Minneapolis, MN
  • Type

    conf

  • DOI
    10.1109/SPECT.1988.206176
  • Filename
    206176