SSP'05 -- Proceedings

	IEEE/SP 13th workshop on Statistical Signal Processing July, 17-20, 2005 - Bordeaux - France

Information regarding the paper

Title

Robust Quadratic Time-Frequency Distributions For The Analysis Of Multicomponent Fm Signals In Heavy-Tailed Noise

Author(s)

Mohamed Sahmoudi	LSS, CNRS-SUPELEC-UPS
Karim Abed-meraim	GET/ENST UMR5141

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Abstract

We consider the problem of instantaneous frequency estimation of multicomponent frequency-modulated signals corrupted by additive heavy-tailed noise. For that, a new time-frequency distribution (TFD), named the robust modified B-distribution (R-MBD), is developed as a generalization of the robust minimax M-estimates to handle such signals. We show that this representation outperforms the robust polynomial Wigner-Ville distribution (r-PWVD) in trerm of high resolution for this class of non-stationnary signals. The proposed approach is compared to the higher-order ambiguity function (HAF) algorithm, for the instantaneous frequency estimation of a multicomponent signal. Computer simulations show the superiority of the proposed algorithm over the standard TFD and the HAF algorithm.