Title :
Moving target location of VSAR based on maximum likelihood method
Author :
Xu, Jia ; Li, Gang ; Peng, Ying-Ning ; Xia, Xiang-Gen ; Wang, Yong-Liang
Author_Institution :
Tsinghua Univ., Beijing
Abstract :
Based on the pixel vector sampled among multi-images, VSAR may effectively suppress the strong ground clutter and realize the moving target detection and locating. In this paper, the Cramer-Rao bounds (CRBs) are derived for the estimation of a proposed VSAR model parameters, as well as the azimuth locations of moving targets, and the maximum likelihood (ML) methods are further proposed to reach these CRBs. Finally, some detailed numerical experiments are also provided to show the effectiveness of the proposed methods.
Keywords :
image sampling; maximum likelihood estimation; radar imaging; synthetic aperture radar; Cramer-Rao bounds; maximum likelihood method; parameter estimation; pixel vector; target location; Antenna arrays; Azimuth; Clutter; Covariance matrix; Maximum likelihood detection; Maximum likelihood estimation; Object detection; Parameter estimation; Parametric statistics; Receiving antennas; Cramer-Rao bounds; VSAR; maximum likelihood methods; parameter estimation;
Conference_Titel :
Synthetic Aperture Radar, 2007. APSAR 2007. 1st Asian and Pacific Conference on
Conference_Location :
Huangshan
Print_ISBN :
978-1-4244-1188-7
Electronic_ISBN :
978-1-4244-1188-7
DOI :
10.1109/APSAR.2007.4418611
