A deconvolution approach to source localization

  • Authors:

  • Hervé Chuberre;Jean-Jacques Fuchs

  • Affiliations:

  • IRISA, Université de Rennes I, Rennex Cedex, France;IRISA, Université de Rennes I, Rennex Cedex, France

  • Venue:
  • ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: plenary, special, audio, underwater acoustics, VLSI, neural networks - Volume I
  • Year:
  • 1993

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Abstract

Due to its low resolution the conventional beamformer (CBF) has generally been neglected in the recent litterature on array processing and considerable attention devoted to the high-resolution (HR) techniques. Applying a deconvolution approach to the output of the CBF, we obtain a source localization procedure whose performances are comparable to those of the most efficient HR techniques. Our 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 mean to obtain maximum likelihood estimates (MLE) when the CBF-output is taken as the observed data.