Feature extraction of intra-pulse modulated signals using time-frequency analysis

Author

Moraitakis, Ioannis ; Fargues, Monique P.

Author_Institution

Dept. of Electr. & Comput. Eng., Naval Postgraduate Sch., Monterey, CA, USA

Volume

2

fYear

2000

fDate

2000

Firstpage

737

Abstract

Time-frequency/wavelet decompositions and pattern recognition schemes are used to extract the parameters of linear and hyperbolic chirps. The study first compares the robustness to additive noise distortions of eleven different transformations applied in connection with the Radon transform to estimate linear chirp parameters. Second, it proposes an iterative scheme to estimate hyperbolic chirp parameters from the time-frequency image

Keywords

Radon transforms; chirp modulation; feature extraction; image representation; iterative methods; noise; pattern recognition; pulse modulation; radar imaging; time-frequency analysis; wavelet transforms; CW radar signals; Radon transform; additive noise distortion; feature extraction; hyperbolic chirp; hyperbolic chirp parameters; intra-pulse modulated signals; iterative scheme; linear chirp parameters estimation; pattern recognition; pulse-compression radar signals; time-frequency analysis; time-frequency image; time-frequency representations; time-frequency/wavelet decompositions; transformations; Chirp modulation; Feature extraction; Noise robustness; Parameter estimation; Pattern recognition; Pulse modulation; Radar applications; Radar imaging; Time frequency analysis; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

MILCOM 2000. 21st Century Military Communications Conference Proceedings

Conference_Location

Los Angeles, CA

Print_ISBN

0-7803-6521-6

Type

conf

DOI

10.1109/MILCOM.2000.904028

Filename

904028