If estimation of multicomponent chirp signal in impulsive α-stable noise environment using parametric and non-parametric approaches

In this paper we address the problem of instantaneous frequency (IF) estimation of multicomponent chirp signals in impulsive α-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.