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 per...

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Bibliographic Details
Main Authors: Barkat, B., Abed-Meraim, K.
Format: Conference Proceeding
Language:English
Subjects:
Ear
Frequency modulation
MATLAB
Noise measurement
Signal resolution
Signal to noise ratio
Sonar
Online Access:Request full text
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Description
Summary: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.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2002.5745820