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A Novel Motion Compensation Method Based on Height Term Removing for Spotlight SAR on Circular Trajectories

机译:一种基于高度术语去除聚光灯SAR圆形轨迹的新型运动补偿方法

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摘要

For spotlight synthetic aperture radar (SAR) on circular trajectories, the phase error caused by motion error is 2-D space-variant. For the conventional motion compensation (MOCO) algorithm, the imaging scene is generally segmented into many sub-regions to compensate for the space-variant phase error. However, the complex phase error results in that fact that it is difficult to obtain the quantitative criterion of scene segmentation. To address this issue, we propose a novel MOCO algorithm. This method contains three steps; the first step is non-space-variant phase error compensation; the second step is to remove the height term; the third step is space-variant phase error compensation. Among these steps, the most critical operation is removing the height term. In the distance equation, the height term is independent of the ground target coordinate. Hence, it can be removed by a serial of operations containing resampling and phase compensation. Through removing height term, it doesn't only compensate the height error but also makes the residual phase error into 1-D space-variant. Then, the phase error is exclusively related to the radius error and the target abscissa. Hence, after compensating for the space-variant error, it only needs to segment scene along the abscissa direction. Meanwhile, it can gain the quantitative criterion of scene segmentation to guarantee the phase error variation range is less than pi/4 in each sub-scene. Eventually, some simulations are conducted to illustrate that the proposed method is valid.
机译:对于圆形轨迹的聚光灯合成孔径雷达(SAR),运动误差引起的相位误差是2-D空间变量。对于传统的运动补偿(MOCO)算法,成像场景通常被分割成许多子区域以补偿空间变量相位误差。然而,复杂的相位误差导致该事实,即难以获得场景分割的定量标准。为了解决这个问题,我们提出了一种新颖的MoCO算法。此方法包含三个步骤;第一步是非空间变量相位误差补偿;第二步是去除高度术语;第三步是空间变量相位误差补偿。在这些步骤中,最关键的操作正在删除高度术语。在距离方程中,高度术语与地面目标坐标无关。因此,可以通过包含重采样和相位补偿的串行操作来删除。通过删除高度术语,它不仅可以补偿高度误差,而且还使剩余相位误差成为1-D空间变量。然后,相位误差专门与RADIUS错误和目标横坐标相关。因此,在补偿空间变量误差之后,它只需要沿着横坐标方向段的段。同时,它可以获得场景分割的定量标准,以保证相位误差变化范围小于每个子场景中的PI / 4。最终,进行了一些模拟以说明所提出的方法有效。

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