Airship Sparse Array Antenna Radar Real Aperture Imaging Based on Compressed Sensing and Sparsity in Transform Domain

• Published in: Journal of radars = Lei da xue bao Vol. 5; no. 1; pp. 109 - 117
• Main Authors: Li Liechen, Li Daojing, Huang Pingping
• Format: Journal Article
• Language: Chinese; English
• Published: China Science Publishing & Media Ltd. (CSPM) 28.02.2016
• Subjects: Compressed Sensing (CS); Conformal sparse array; Sparsity in the transform domain
• ISSN: 2095-283X; 2095-283X
• DOI: 10.12000/JR14159

A conformal sparse array based on combined Barker code is designed for airship platform. The performance of the designed array such as signal-to-noise ratio is analyzed. Using the hovering characteristics of the airship, interferometry operation can be applied on the real aperture imaging results of two pulses, which can eliminate the random backscatter phase and make the image sparse in the transform domain. Building the relationship between echo and transform coefficients, the Compressed Sensing (CS) theory can be introduced to solve the formula and achieving imaging. The image quality of the proposed method can reach the image formed by the full array imaging. The simulation results show the effectiveness of the proposed method.