Imaging Moving Targets for a Forward Scanning SAR without Radar Motion Compensation
Imaging Moving Targets for a Forward Scanning SAR without Radar Motion Compensation
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DOI：
10.1016/j.sigpro.2021.108110
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发表时间：
2021-08
期刊：
影响因子：
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通讯作者：
S. Gishkori;L. Daniel;M. Gashinova;B. Mulgrew
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文献类型：
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作者：
S. Gishkori;L. Daniel;M. Gashinova;B. Mulgrew
前向扫描合成孔径雷达(FS-SAR)是近年来提出的一种新的车载雷达成像模式，可提供更高的方位分辨率。FS-SAR已经扩展到对运动目标成像。然而，假设雷达运动已经过预补偿。因此，图像重建和聚焦只需处理目标对象的运动。在实际应用中，要对复杂的雷达运动进行完美的补偿并非易事。因此，在本文中，我们对以往用FS-SAR成像运动目标的方法进行了改进，使其可以在没有补偿的情况下进行雷达运动。该方法不采用联合图像重建和图像/矩阵分解的方法，而是首先对每个孔径位置重建目标图像，然后应用矩阵分解来分离运动目标和杂波/静止目标。通过两种FS-SAR重建算法，即基于压缩感知的反投影法和改进的反投影法，证明了该方法在不需要雷达运动补偿的情况下提供了更好的成像效果。实际数据实验验证了该方法的有效性。
Forward scanning SAR (FS-SAR) has recently been presented as a new mode of imaging for automotive radars, providing enhanced azimuth resolution. FS-SAR has been extended to imaging moving objects. However, it is assumed that the radar motion has been pre-compensated. Therefore, image reconstruction and focusing have to deal with the movement of the target objects only. In practice, it is not easy to compensate for, especially, complex radar motion, perfectly. Therefore, in this paper, we modify the erstwhile approach of imaging moving targets with FS-SAR to allow for radar motion without compensation. Instead of a joint, image reconstruction and image/matrix decomposition, approach, we first reconstruct the target image for every aperture position and then apply matrix decomposition to separate moving targets from clutter/stationary objects. We show, via two FS-SAR reconstruction algorithms, namely, the compressed sensing based back-projection and the modified back-projection, that the proposed approach provides the benefits of improved imaging without the need for radar motion compensation. Real-data experiments corroborate the proposed methodology.