Research on Algorithm of Near-field 3D SAR Imaging Based on Linear Array

Ruoshi Zhang, Zhe Zheng, Xuewei Chen, Boning Sun
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Abstract

Collecting data in the near-field area of the radar using the spotlight mode based on the linear array platform, and the three-dimensional imaging algorithm of the target within the beam irradiation range is studied. The difficulty of near-field 3D imaging lies in the large amount of radar echo data, so it has high requirements on the efficiency of imaging algorithms. The application of traditional 3D back-projection algorithm is general, but the algorithm efficiency is low. Therefore, an imaging algorithm for 3D reconstruction of echo data based on the compressed sensing is proposed, Therefore, an imaging algorithm for 3D reconstruction of echo data based on the principle of compressed sensing is proposed, and it improves the elevation resolution compared with the traditional algorithm. The simulation results show that the proposed algorithm is feasible and effective, and it takes a short time to achieve 3D imaging of the target in the scene.
基于线阵的近场三维SAR成像算法研究
采用基于线阵平台的聚束模式采集雷达近场数据,研究了波束照射范围内目标的三维成像算法。近场三维成像的难点在于雷达回波数据量大,对成像算法的效率要求较高。传统的三维反投影算法应用广泛,但算法效率较低。因此,本文提出了一种基于压缩感知原理的回波数据三维重建成像算法,与传统算法相比,该算法提高了高程分辨率。仿真结果表明,该算法可行有效,能够在较短的时间内实现场景中目标的三维成像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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