Downward-looking 3D Imaging Processing of Sparse Array SAR Based on Modified Uniformly Redundant Arrays Positive and Negative Coding
TIAN He①② LI Daojing① PAN Jie① ZHOU Jianwei①②
①(Science and Technology on Microwave Imaging Laboratory, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China) ②(University of Chinese Academy of Sciences, Beijing 100190, China)
Abstract：The three-dimensional (3D) imaging of airborne sparse array SAR is studied. In order to avoid data redundancy, high Pulse Repetition Frequency (PRF) and motion compensation caused by aperture synthesis, the Modified Uniformly Redundant Arrays (MURA) is introduced for random modulation on echo data along the array antenna sampling plane. The MURA positive and negative coded echo signals are processed to form 3D complex images, respectively, and by interferometry of two images the 3D frequency spectrum of the signal is concentrated in low frequency band. Therefore, using low-pass filter or Compressed Sensing (CS) processing in frequency domain, 3D image with sufficient performance is obtained under the condition of sparse sampling in the frequency domain. The method has the characteristics of high utilization rate of echo data and low repetition frequency of the system. Simulation results and experimental data of the anechoic chamber verify the effectiveness of the proposed method.
田鹤,李道京,潘洁,周建卫. 基于修正均匀冗余阵列正反编码的稀疏阵列SAR下视三维成像处理[J]. 电子与信息学报, 2017, 39(9): 2203-2211.
TIAN He, LI Daojing, PAN Jie, ZHOU Jianwei. Downward-looking 3D Imaging Processing of Sparse Array SAR Based on Modified Uniformly Redundant Arrays Positive and Negative Coding. JEIT, 2017, 39(9): 2203-2211.
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