A blind components separation procedure for FM signal analysis

In this paper, we propose a novel algorithm to select and extract separately all the components, using the time-frequency distribution (TFD), of a given multicomponent frequency-modulated (FM) signal. This algorithm does not use any a priori information about the-various components. However, its performance highly depends on the cross-terms suppression ability and high time-frequency resolution of the considered TFD. The algorithm is compared with the higher-order ambiguity function (HAF) algorithm for the estimation of the phase-coefficients of a multicomponent signal. Monte-Carlo simulations results show the superiority of the proposed algorithm.