Analysis of polynomial FM signals corrupted by heavy-tailed noise

Authors:
Braham Barkat;LJubiša Stanković
Affiliations:
Nanyang Technological University, School of EEE, Block S2, Nanyang Avenue, Singapore 639798, Singapore;University of Montenegro, Elektrotehnicki Fakultet, 81000 Podgorica, Montenegro, Yugoslavia
Venue:
Signal Processing
Year:
2004

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Abstract

In this paper, we consider the analysis of polynomial FM signals corrupted by additive heavy-tailed noise. Standard time-frequency techniques fail to analyze such signals. For that, we propose here a new technique, named the robust polynomial Wigner-Ville distribution (r-PWVD) to handle this case. We show that this representation outperforms the robust Wigner-Ville distribution (r-WVD) and the robust spectrogram in terms of artifacts suppression and high time-frequency resolution for this class of signals. Also, we show that the peak of the r-PWVD is an accurate instantaneous frequency estimator. Examples and Monte-Carlo simulations are presented in order to validate and prove the performance of the proposed algorithm.