Title :
Parametric SAR image formation — A promising approach to resolution-unlimited imaging
Author :
Gao, Yesheng ; Wang, Kaizhi ; Liu, Xingzhao
Author_Institution :
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
A parametric SAR image formation scheme is proposed in this paper. Based on a model describing the received signal, the parameters of the model can be used to characterize the illuminated scene. A realization of parameter estimation via atomic decomposition is presented. The estimated parameters are then mapped onto the iso-range-Doppler grid to form a SAR image. Simulation results demonstrate that this scheme can provide an approach to resolution-unlimited imaging.
Keywords :
Doppler radar; image resolution; parameter estimation; radar imaging; synthetic aperture radar; atomic decomposition; illuminated scene; iso-range-Doppler grid; parameter estimation realization; parametric SAR image formation scheme; received signal; resolution-unlimited imaging; Image resolution; Imaging; Mathematical model; Parameter estimation; Signal processing algorithms; Signal resolution; Synthetic aperture radar; Synthetic aperture radar (SAR); atomic decomposition; image formation; parameter estimation;
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
Conference_Location :
Bucharest
Print_ISBN :
978-1-4673-1068-0
