Detection by the stochastic classification matched filter

  • Authors:
  • Nicolas Juennard;Bruno Borloz;Bernard Xerri

  • Affiliations:
  • Laboratoire STIC, GESSY, Université du Sud Toulon, La Valette du Var Cedex, France;Laboratoire STIC, GESSY, Université du Sud Toulon, La Valette du Var Cedex, France;Laboratoire STIC, GESSY, Université du Sud Toulon, La Valette du Var Cedex, France

  • Venue:
  • ISPRA'06 Proceedings of the 5th WSEAS International Conference on Signal Processing, Robotics and Automation
  • Year:
  • 2006

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Abstract

This paper deals with stochastic zero-mean signals detection. Second order statistical moments of signals is assumed to be known. We propose an adaptated method based on a linear filtering under constraint optimizing a criterion based on different signal to noise ratios. This optimisation leads to the choice of a 1D subspace on which the different signals are projected. We also present simulations and results obtained with different signals.