• DocumentCode
    1093037
  • Title

    A deconvolution approach to source localization

  • Author

    Fuchs, Jean-Jacques ; Chuberre, Hervé

  • Author_Institution
    Rennes I Univ., France
  • Volume
    42
  • Issue
    6
  • fYear
    1994
  • fDate
    6/1/1994 12:00:00 AM
  • Firstpage
    1462
  • Lastpage
    1470
  • Abstract
    Due to its low resolution the conventional beamformer (CBF) has generally been neglected in the recent literature on array processing and considerable attention devoted to the high-resolution (HR) techniques. Applying a deconvolution approach to the output of the CBF, the authors obtain a source localization procedure whose performances are comparable to those of the most efficient HR techniques. The scheme, moreover, also furnishes estimates of the source powers and comprises a test that detects the number of sources present. It can indeed be seen as a means to obtain maximum likelihood estimates (MLE) when the CBF-output is taken as the observed data
  • Keywords
    array signal processing; inverse problems; maximum likelihood estimation; MLE; array processing; conventional beamformer; deconvolution approach; high-resolution techniques; maximum likelihood estimates; observed data; source localization; source power estimation; Apertures; Array signal processing; Deconvolution; Inverse problems; Maximum likelihood detection; Maximum likelihood estimation; Narrowband; Sensor arrays; Shape; Testing;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.286961
  • Filename
    286961