Analysis of FM signals affected by Gaussian AM using the reduced Wigner-Ville trispectrum

Author

Boashash, Boualem ; Ristich, Branko

Author_Institution

Signal Process. Res. Centre, Queensland Univ. of Technol., Brisbane, Qld., Australia

Volume

4

fYear

1993

fDate

27-30 April 1993

Firstpage

408

Abstract

A novel time-frequency analysis method for FM signals affected by multiplicative and additive noise is proposed. The method, referred to as the reduced Wigner-Ville trispectrum (RWVT), is a member of a class of time-varying polyspectra based on polynomial Wigner-Ville distributions (WVD) (B. Boashash and P. O´Shea, 1991). It is shown that the RWVT outperforms the Wigner-Ville distribution, and therefore any other method based on the Cohen´s class of bilinear time frequency distributions (TFDs), for the class of signals considered. In addition, the authors present the statistical properties of an instantaneous frequency estimator based on the peak of the RWVT, and compare them with the properties of the estimator based on the peak of the WVD.<>

Keywords

frequency modulation; polynomials; random noise; spectral analysis; time-frequency analysis; time-varying systems; FM signals; Gaussian AM; additive noise; instantaneous frequency estimator; multiplicative noise; reduced Wigner-Ville trispectrum; time-frequency analysis; time-varying polyspectra;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on

Conference_Location

Minneapolis, MN, USA

ISSN

1520-6149

Print_ISBN

0-7803-7402-9

Type

conf

DOI

10.1109/ICASSP.1993.319681

Filename

319681