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Road-Aided Ground Slowly Moving Target 2D Motion Estimation for Single-Channel Synthetic Aperture Radar

机译:单通道合成孔径雷达的道路辅助地面缓慢移动目标二维运动估计

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摘要

To detect and estimate ground slowly moving targets in airborne single-channel synthetic aperture radar (SAR), a road-aided ground moving target indication (GMTI) algorithm is proposed in this paper. First, the road area is extracted from a focused SAR image based on radar vision. Second, after stationary clutter suppression in the range-Doppler domain, a moving target is detected and located in the image domain via the watershed method. The target’s position on the road as well as its radial velocity can be determined according to the target’s offset distance and traffic rules. Furthermore, the target’s azimuth velocity is estimated based on the road slope obtained via polynomial fitting. Compared with the traditional algorithms, the proposed method can effectively cope with slowly moving targets partly submerged in a stationary clutter spectrum. In addition, the proposed method can be easily extended to a multi-channel system to further improve the performance of clutter suppression and motion estimation. Finally, the results of numerical experiments are provided to demonstrate the effectiveness of the proposed algorithm.
机译:为了检测和估计机载单通道合成孔径雷达(SAR)中地面缓慢移动的目标,提出了一种道路辅助地面移动目标指示(GMTI)算法。首先,基于雷达视觉从聚焦的SAR图像中提取道路区域。其次,在距离多普勒域中进行平稳杂波抑制之后,通过分水岭方法检测到运动目标并将其定位在图像域中。可以根据目标的偏移距离和交通规则来确定目标在道路上的位置及其径向速度。此外,根据通过多项式拟合获得的道路坡度估算目标的方位角速度。与传统算法相比,该方法可以有效地处理部分淹没在平稳杂波谱中的缓慢移动目标。另外,所提出的方法可以容易地扩展到多通道系统,以进一步提高杂波抑制和运动估计的性能。最后,提供了数值实验的结果,以证明该算法的有效性。

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