Research on MIMO-ISAR High Resolution Imaging Technology

Yonghui Guo, Yuntao Li, Yu Zhang
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Abstract

The high resolution ISAR two dimensional image is very important for the detection and recognition of long-range non-cooperative targets such as satellites, missiles, aircraft, etc. However, traditional ISAR imaging requires a long imaging time to improve the imaging resolution and usually requires constant velocity motion of the target. To solve the above problems, many researchers have proposed an imaging radar which combines MIMO (Multiple Input Multiple Output) with ISAR (Inverse Synthetical Aperture Radar) technology, which theoretically overcomes the shortcomings of traditional ISAR. Therefore, this paper conclusion MIMO-ISAR high-resolution imaging from three aspects, first summarizes the sub-band synthesis technology to achieve one-dimensional distance image high-resolution. Second, systematically expounds the basic method of Doppler blurring of MIMO-ISAR echo data. Finally, the MIMO-ISAR imaging algorithm is summarized and the performance of the existing methods is evaluated. Based on the analysis of the above three aspects, the further research direction of MIMO-ISAR high resolution imaging technology is prospected.
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MIMO-ISAR 高分辨率成像技术研究
高分辨率 ISAR 二维图像对于探测和识别卫星、导弹、飞机等远程非合作目标非常重要。然而,传统的 ISAR 成像需要较长的成像时间才能提高成像分辨率,而且通常需要目标的匀速运动。为了解决上述问题,许多研究人员提出了一种将 MIMO(多输入多输出)与 ISAR(反合成孔径雷达)技术相结合的成像雷达,从理论上克服了传统 ISAR 的缺点。因此,本文从三个方面总结了 MIMO-ISAR 高分辨率成像技术,首先总结了实现一维距离图像高分辨率的子带合成技术。其次,系统阐述了 MIMO-ISAR 回波数据多普勒模糊的基本方法。最后,总结了 MIMO-ISAR 成像算法,并对现有方法的性能进行了评估。基于以上三个方面的分析,展望了 MIMO-ISAR 高分辨率成像技术的进一步研究方向。
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