3D Imaging Algorithm for Down-Looking MIMO Array SAR Based on Bayesian Compressive Sensing. (11th May 2014)

• Record Type: Journal Article
• Authors: Ren, Xiaozhen; Chen, Lina; Yang, Jing
• Other Names: Xu Wei Academic Editor.
• Is Part Of: International journal of antennas and propagation. Volume 2014(2014)
• Publication Date: 2014-05-11
• Subjects: Electronic apparatus and appliances -- Periodicals; Antennas (Electronics) -- Periodicals; Radio wave propagation -- Periodicals; Antennes (Électronique); Ondes radioélectriques -- Propagation; Antennas (Electronics); Electronic apparatus and appliances; Radio wave propagation; Electronic journals; Periodicals; 621.382405
• DOI: 10.1155/2014/612326
• Languages: English
• ISSNs: 1687-5869

Abstract

Abstract : 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.