In this paper, a new method is presented for image formation in a Multistatic Passive Synthetic Aperture Radar (SAR), whose receiver is moving and transmitters are stationary in a multistatic structure, and the signal used to create the image is DVB-T. The proposed method uses multiple transmitters of opportunity to improve the range resolution of a Passive SAR. First, a linear observation model is developed for multistatic structure of the Passive SAR system. Then, the image of the underlying scene is obtained through a new Kalman-based estimation algorithm. In this algorithm, range migration error is completely corrected, and the use of Kalman recursive filter reduces the computational complexity of the reflection coefficients estimation algorithm. Experimental results indicate that the proposed algorithm is effective.

在本文中，提出了一种在多静态无源合成孔径雷达（SAR）中成像的新方法，该雷达的接收器在移动，发射器固定在多静态结构中，用于生成图像的信号是DVB-T。所提出的方法使用机会的多个发射机来提高无源SAR的距离分辨率。首先，为无源SAR系统的多静态结构建立了线性观测模型。然后，通过新的基于卡尔曼的估计算法获得基础场景的图像。在该算法中，范围偏移误差得到了完全校正，并且使用卡尔曼递归滤波器降低了反射系数估计算法的计算复杂度。实验结果表明，该算法是有效的。