中文摘要：

多角度SAR图像能够更全面描述目标不同角度下的特征信息，对目标识别具有重要意义．实现多角度SAR成像需要解决两个问题，一是在多角度测量模式下，传统成像算法的远场条件不能满足，成像散焦严重；二是空间采样不连续使得基于傅里叶变换的成像算法产生很高的旁瓣．本文利用二维匹配滤波函数的聚焦功能实现多角度SAR成像．通过调整成像参考点位置构造二维匹配函数，然后将测量数据用匹配函数进行滤波．与传统SAR成像算法相比，本文提出的多角度SAR成像算法突破了空间采样必须均匀和连续的束缚，更具有普适性．实验结果表明本文算法不仅能够实现多角度SAR成像，提高成像分辨率，而且多角度SAR图像能够描述目标散射特征的空间变化．

英文摘要：

Multi-aspect SAR imaging provide persistent coverage and maximal diversity in the viewing angle about the target feature,it is valuable for SAR AIR. There are two troubles for multi-aspect SAR imaging. One is the imaging focusing;the other is the discontinuity of sampling.In this paper, a 2-D matched filtering method is proposed for multi-aspect SAR imaging. This method forms 2-D matched function by adjusting the reference point, it resolves the focusing and discontinuity sampling problem, it also is applicable for other non-unifomaly sampling data. Numerical simulations verify that multi-aspect SAR imaging offers great potential for better resolution over classical radar ,it can also representation target feature of different sensor-target orientation.