Motion Compensation and 3-D Imaging Algorithm in Sparse Flight based Airborne Array SARi

• Published in: Procedia computer science Vol. 187; pp. 464 - 473
• Main Authors: Tian, He, Dong, Chunzhu, Sheng, Jing, Zeng, Zheng
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2021
• Subjects: Compressed Sensing; interferometry; sparse sampling; Synthetic aperture radar; sparse sampling; interferometry; Synthetic aperture radar; Compressed Sensing
• ISSN: 1877-0509; 1877-0509
• DOI: 10.1016/j.procs.2021.04.085

This paper adopts a criterion of Barker code to generate a high-resolution image with a few flight times, for three dimensional (3-D) imaging model of airborne array SAR. Under the condition of motion error, we utilize the Modified Uniformly Redundant Arrays (MURA) modulation and 3-D Back Projection (BP) algorithm to obtain 3-D complex image pairs under each flight. Based on interferometry and Compressed Sensing (CS) in frequency domain, the array deformation error compensation is realized. The phases of 3-D complex image formed by the echo corresponding to negative MURA modulation are taken as reference, and phase compensation is performed on each single-pass complex image to restore the image phase relationship of each flight. Coherent accumulation of each complex image is implemented to realize high-resolution 3-D imaging under sparse flight sampling. Simulation analysis and experimental data verify the feasibility of proposed method.