Adaptive spectrogram for time-frequency signal analysis

Author

Sun, Xiaobing ; Bao, Zheng

Author_Institution

Lab. for Radar Signal Process., Xidian Univ., Xi´´an, China

fYear

1996

fDate

24-26 Jun 1996

Firstpage

460

Lastpage

463

Abstract

A novel method for the determination of the window parameters of adaptive spectrograms is given in this paper. It is based on detecting the maximum value and the width of the peak of the Radon transform of the modulus of the ambiguity function of the signals. The proposed method effectively reduces the cross-terms and the noise of linear frequency modulated signals compared with the Wigner distribution and the classical fix window spectrogram. A possible further extension of the method is also given to fit it to larger classes of signals

Keywords

Radon transforms; adaptive signal processing; frequency modulation; interference suppression; noise; parameter estimation; spectral analysis; time-frequency analysis; Radon transform; Wigner distribution; adaptive spectrograms; ambiguity function; classical fix window spectrogram; cross-terms; linear frequency modulated signals; maximum value; modulus; peak width; time-frequency signal analysis; window parameters; Chirp modulation; Fourier transforms; Frequency modulation; Laboratories; Radar detection; Signal analysis; Signal resolution; Spectrogram; Sun; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004

Conference_Location

Corfu

Print_ISBN

0-8186-7576-4

Type

conf

DOI

10.1109/SSAP.1996.534915

Filename

534915