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Clutter suppression and GMTI for hypersonic vehicle borne SAR system with MIMO antenna

机译:具有MIMO天线的高超声速车载SAR系统的杂波抑制和GMTI

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This study proposes a clutter suppression approach and the corresponding ground moving target imaging algorithm for hypersonic vehicle (HSV) borne synthetic aperture radar (SAR) system with multiple-input-multiple-output (MIMO) antenna. HSV-borne radar platforms fly with a high speed, which can lead to severe Doppler ambiguity, and the radar system usually cannot provide enough channel freedom degree for clutter suppression. In this study, an SAR ground moving target indication (GMTI) approach with MIMO antenna is presented for HSV-borne radar. Compared with the traditional multichannel SAR GMTI methods, the proposed approach can provide more space freedom degree and obtain a wider imaging swath without decreasing pulse repetition frequency. Besides, the improved deramp space-time adaptive processing method decreases the ambiguity times of the ground clutter and focuses the moving target. The simulation results validate the effectiveness of the proposed method.
机译:这项研究提出了杂波抑制方法和相应的地面移动目标成像算法,用于带有多输入多输出(MIMO)天线的高超音速车辆(SARV)合成孔径雷达(SAR)系统。携带HSV的雷达平台高速飞行,这可能导致严重的多普勒模糊性,并且雷达系统通常无法提供足够的信道自由度来抑制杂波。在这项研究中,提出了一种带有MIMO天线的SAR地面移动目标指示(GMTI)方法,用于HSV载雷达。与传统的多通道SAR GMTI方法相比,该方法可以在不降低脉冲重复频率的情况下提供更大的空间自由度并获得更宽的成像范围。此外,改进的deramp时空自适应处理方法减少了地面杂波的模糊时间并聚焦了运动目标。仿真结果验证了该方法的有效性。

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