Title :
Estimating motion parameters using parametric modeling based on time-frequency representations
Author :
Scaglione, A. ; Barbarossa, S.
Author_Institution :
Rome Univ., Italy
Abstract :
We propose a method for estimating the instantaneous phase shift induced by the relative radar-target motion based on two main steps: (1) time-frequency representation of the received echoes; and (2) estimation based on parametric modeling. The estimates can then be used to initialize a compensation procedure for obtaining the ISAR image or to extract features to be used for target classification directly from the received signal, without necessarily passing through the target image. We show some application examples of the proposed procedure in the presence of noise
Keywords :
synthetic aperture radar; ISAR image; feature extraction; instantaneous phase shift; motion compensation; motion parameter estimation; noise; parametric modeling; received echoes; received signal; relative radar target motion; target classification; time-frequency representation;
Conference_Titel :
Radar 97 (Conf. Publ. No. 449)
Conference_Location :
Edinburgh
Print_ISBN :
0-85296-698-9
DOI :
10.1049/cp:19971679