Time-correlation analysis of a class of nonstationary signals with an application to radar imaging

Author

Li, Ta-Hsin ; Gibson, Jerry D.

Author_Institution

Texas A&M Univ., College Station, TX, USA

Volume

5

fYear

1997

fDate

21-24 Apr 1997

Firstpage

3765

Abstract

A new method of nonstationary signal analysis, called time-correlation analysis (TCA), is applied to a class of nonstationary random signals containing time distortion. The method reveals a relationship between the TCA summary statistics and the distortion and leads to two nonparametric estimators for the distortion function. An example is given that demonstrates the application of the TCA method to motion compensation problems in radar imaging

Keywords

correlation methods; motion compensation; radar applications; radar imaging; radar signal processing; random processes; statistical analysis; ISAR; distortion function; motion compensation; nonparametric estimators; nonstationary random signals; nonstationary signal analysis; radar application; radar imaging; summary statistics; time distortion; time-correlation analysis; Doppler effect; Doppler radar; Filter bank; Filtering; Image analysis; Radar imaging; Signal analysis; Speech analysis; Speech processing; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.604696

Filename

604696