DocumentCode
2598227
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
fYear
2007
fDate
5-9 Nov. 2007
Firstpage
293
Lastpage
297
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/APSAR.2007.4418611
Filename
4418611
Link To Document