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Sparse reconstruction for linear array SAR 3-D imaging based on Bayesian estimation

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3 Author(s)
Shun-Jun Wei ; Dept. of E.E, University of Electronic Science and Technology of China, Chengdu, 611731, China ; Xiao-Ling Zhang ; Jun Shi

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.

Published in:

Proceedings of 2011 IEEE CIE International Conference on Radar  (Volume:2 )

Date of Conference:

24-27 Oct. 2011