IF ESTIMATION OF MULTICOMPONENT CHIRP SIGNAL IN IMPULSIVE ALPHA-STABLE NOISE ENVIRONMENT USING PARAMETRIC AND NON-PARAMETRIC APPROACHES (ThuPmOR6)

Author(s) : Mohamed Sahmoudi (LSS; CNRS-SUPELEC-UPS, France) Karim Abed-Meraim (TSI, Telecom Paris, France) Braham Barkat (School of Elec & Electro. Eng., Singapore)

Abstract : In this paper we address the problem of instantaneous frequency (IF) estimation of multicomponent chirp signals in impulsive $\alpha$-stable noise environment. Three new parametric techniques are introduced first based on robust versions of the MUSIC algorithm using truncated data (TRUNC-MUSIC), robust covariance estimate (ROCOV-MUSIC) and generalized covariation coefficients which are a fractional lower order statistics (FLOS-MUSIC), respectively. These methods are compared with a new proposed method based on ``robust'' time-frequency signal analysis.

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