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

Volume

2

fYear

2011

fDate

24-27 Oct. 2011

Firstpage

1522

Lastpage

1525

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar (Radar), 2011 IEEE CIE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-8444-7

Type

conf

DOI

10.1109/CIE-Radar.2011.6159851

Filename

6159851