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2002•IEEE Signal Processing LettersRequires access

An iterative algorithm for estimation of linear frequency modulated signal parameters

Christophe De Luigi, Éric Moreau

Open publisher page 20 citations

Abstract

We consider the problem of estimation of a nonstationary signal. The time-frequency characteristics and, more precisely, the instantaneous frequency (IF) of such a signal can be highlighted by the Wigner-Ville transform (WVT). Using the properties of the cross WVT, we develop an iterative algorithm taking into consideration the presence of wrong frequencies in the estimated IF sequence of the signal. Finally, computer simulations are performed in order to illustrate the behavior of this iterative scheme.

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What this paper is about

We consider the problem of estimation of a nonstationary signal. The time-frequency characteristics and, more precisely, the instantaneous frequency (IF) of such a signal can be highlighted by the Wigner-Ville transform (WVT). Using the properties of the cross WVT, we develop an iterative algorithm taking into consideration the presence of wrong frequencies in the estimated IF sequence of the signal. Finally, computer simulations are performed in order to illustrate the behavior of this iterative scheme.

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OpenAlex reports 20 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We consider the problem of estimation of a nonstationary signal. The time-frequency characteristics and, more precisely, the instantaneous frequency (IF) of such a signal can be highlighted by the Wigner-Ville transform (WVT). Using the properties of the cross WVT, we develop an iterative algorithm taking into consideration the presence of wrong frequencies in the estimated IF sequence of the signal. Finally, computer simulations are performed in order to illustrate the behavior of this iterative scheme.

Key concepts: Algorithm, SIGNAL (programming language), Iterative method, Sequence (biology), Time–frequency analysis, Computer science, Signal processing, Instantaneous phase

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