Broadband source localization by regularization techniques

  • Authors:

  • B. Senadji;Y. Grenier

  • Affiliations:

  • Ecole Nationale Supérieure des Télécommunications, Paris Cedex 13, France;Ecole Nationale Supérieure des Télécommunications, Paris Cedex 13, 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

We propose a new method for broadband source localization when few data is available. We aim to both perform localization at a single frequency fo and cope with the few information drawn from the data. The first step is a frequency dependent ARMA modeling of the signals coming from an array of sensors. The idea is to exploit the frequency variation of the ARMA vectors and consider it as a priori information on the vectors. Regularization techniques are then applied to optimize two criteria respectively representing the data and the a priori information. A regularization parameter is used to quantify the relative importance of the two criteria. The optimization of the regularized criterion leads to the estimation of the ARMA vector at frequency fo by solving a bloc tridiagonal system.