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2002•IEEE International Conference on Acoustics Speech and Signal ProcessingRequires access

Wigner-Ville and polynomial Wigner-Ville Transforms in the estimation of nonlinear FM signal parameters

Christophe De Luigi, Éric Moreau

Open publisher page 4 citations

Abstract

In this paper, we consider the estimation problem of the frequency characteristics of a nonlinear FM and monocomponent signal. The instantaneous frequency (IF) of such a signal can be highlighted by a Time-Frequency Transform (TFT). Using the properties of the cross TFT, we develop an iterative algorithm taking into consideration the presence of wrong frequencies in the estimated IF sequence of the signal. Finally, a computer simulation is performed to illustrate the behavior of this iterative scheme with different TFT.

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What this paper is about

In this paper, we consider the estimation problem of the frequency characteristics of a nonlinear FM and monocomponent signal. The instantaneous frequency (IF) of such a signal can be highlighted by a Time-Frequency Transform (TFT). Using the properties of the cross TFT, we develop an iterative algorithm taking into consideration the presence of wrong frequencies in the estimated IF sequence of the signal. Finally, a computer simulation is performed to illustrate the behavior of this iterative scheme with different TFT.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper, we consider the estimation problem of the frequency characteristics of a nonlinear FM and monocomponent signal. The instantaneous frequency (IF) of such a signal can be highlighted by a Time-Frequency Transform (TFT). Using the properties of the cross TFT, we develop an iterative algorithm taking into consideration the presence of wrong frequencies in the estimated IF sequence of the signal. Finally, a computer simulation is performed to illustrate the behavior of this iterative scheme with different TFT.

Key concepts: SIGNAL (programming language), Algorithm, Nonlinear system, Time–frequency analysis, Frequency modulation, Computer science, Polynomial, Instantaneous phase

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