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International Journal of Antennas and Propagation
Volume 2014, Article ID 612326, 9 pages
Research Article

3D Imaging Algorithm for Down-Looking MIMO Array SAR Based on Bayesian Compressive Sensing

1College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
2Textile College, Henan Institute of Engineering, Zhengzhou 451191, China

Received 21 February 2014; Accepted 17 April 2014; Published 11 May 2014

Academic Editor: Wei Xu

Copyright © 2014 Xiaozhen Ren et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Down-looking MIMO array SAR can reconstruct 3D images of the observed area in the inferior of the platform of the SAR and has wide application prospects. In this paper, a new strategy based on Bayesian compressive sensing theory is proposed for down-looking MIMO array SAR imaging, which transforms the cross-track imaging process of down-looking MIMO array SAR into the problem of sparse signal reconstruction from noisy measurements. Due to account for additive noise encountered in the measurement process, high quality image can be achieved. Simulation results indicate that the proposed method can provide better resolution and lower sidelobes compared to the conventional method.