曲线轨迹下前视多通道SAR解模糊成像算法

前视合成孔径雷达（SAR）存在左右模糊问题，在直线航迹下，目标关于航线对称模糊，模糊关系不随航线变化，可利用波束形成进行全孔径解模糊处理；但在曲线航迹下，目标的模糊关系具有空变性，不能全孔径解模糊成像。针对这一问题，分析了曲线航迹下目标模糊关系的空变特性，提出一种前视多通道SAR快速后向投影子孔径处理解模糊成像算法。首先进行子孔径划分，在每个子孔径内目标的模糊关系近似不变，每个子孔径分别成像，然后通过波束形成对每幅子图像进行解模糊处理，最后融合子图像得到最终的成像结果。算法有效解决了曲线轨迹下目标模糊关系的空变性对解模糊的影响，仿真实验验证了算法的有效性。

Unambiguous imaging for forward-looking synthetic aperture radar on curve trajectory

The forward-looking Synthetic Aperture Radar (SAR) exists Doppler ambiguity. Under the straight path, since the target is symmetrical about the course, and the fuzzy relationship does not vary with the route, beam forming can be used to perform full-aperture deblurring processing. However, under the curve path, the target position is blurred. The relationship has a vacancy and cannot be fully apogematically deblurred. To solve this problem, this paper analyzes the space-variant characteristics of the target fuzzy relation, and proposes a forward-looking multi-channel SAR anti-fuzzy imaging algorithm based on FBP. First, the sub-aperture is divided. In each sub-aperture, the fuzzy relationship of the target is approximately constant. Each sub-aperture is imaged separately. Then each sub-image is deblurred by beam-forming, and finally the sub-image is merged to obtain the final imaging results. The algorithm effectively solves the influence of the vacancy of the target fuzzy relation under the curve trajectory on ambiguity resolution. The simulation experiments verify the effectiveness of the algorithm.