Title :
Sparse reconstruction for linear array SAR 3-D imaging based on Bayesian estimation
Author :
Wei, Shun-Jun ; Zhang, Xiao-Ling ; Shi, Jun
Author_Institution :
Dept. of E.E, Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
This paper presents a sparse reconstruction approach for resolution enhancement and sidelobe reduced in LASAR 3-D imaging based on Bayesian maximum a posterior (MP) estimation. We show that LASAR imaging can be formulated as sparse recovery problem and that only small number of samples is needed. Numerical simulations demonstrate that the presented sparse Bayesian method outperforms the standard matched-filter method in LASAR imaging.
Keywords :
Bayes methods; image enhancement; image reconstruction; image resolution; radar imaging; radar resolution; sparse matrices; synthetic aperture radar; Bayesian estimation-based linear array SAR 3D imaging; Bayesian maximum a posterior estimation-based LASAR 3D imaging; numerical simulation; resolution enhancement; sparse Bayesian method; sparse reconstruction approach; sparse recovery problem; standard matched-filter method; Apertures; Azimuth; Bayesian methods; Image reconstruction; Image resolution; Imaging; Vectors; 3-D imaging; Bayesian estimation; Linear array SAR; Resolution enhancement;
Conference_Titel :
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8444-7
DOI :
10.1109/CIE-Radar.2011.6159851
