针对编队卫星SAR的构型特点,根据编队卫星SAR回波信号的数学模型,给出了一种改进的成像算法:对每个接收机受到的回波信号进行最小均方误差滤波处理,并用空域滤波合成多颗接收卫星对应的单视复图像,从而得到高分辨率SAR图像。该方法充分利用系统的先验知识和不同接收机间的位置信息来实现高分辨率成像,突破了传统匹配滤波算法对SAR空间分辨率的限制,实现了均方差最小意义下的最优估计。仿真结果验证了本算法的有效性。

Basing on the configuration of formation of satellites and the mathematical model of formation of satellites SAR echo signal,an improved imaging algorithm is proposed: each group of echo signal is first processed by a Minimum Mean Square Error(MMSE) filter,and then the Single-Look Complex(SLC) images from different receivers are synthesized using spatial filtering.The method highly improves the resolution by incorporating prior knowledge and spatial information of multiple receivers,which is a scientific breakthrough in the case when the traditional matched filter method constrains the improvement of SAR spatial resolution.It is an optimal method in the sense of mean square error.Simulation results demonstrate the effectiveness of the proposed method.

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