Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.604696
