Multistatic synthetic aperture radar (SAR) has the characteristics of all-day, all-weather, and high-resolution imaging. It can observe a target from different directions simultaneously to obtain multiangle observation information. However, jamming signals can affect multistatic SAR. When multiple range deception jammers exist in the environment, multiple false targets are generated in the multistatic SAR image simultaneously, which can impact the readability of the information contained in multistatic SAR images. The locations of false targets are related to the configuration of multistatic SAR; it provides the potential for jamming suppression by adjusting the configuration. Thus, in this article, we propose a jammer localization and jamming suppression method for multistatic SAR in a multijammer environment via configuration optimization. First, a target detection algorithm and a discriminant algorithm are combined to detect and identify false targets. Then, the distribution law of false targets is analyzed, and false targets are classified into two categories according to the types of jammers. Combined with the multistatic SAR configuration and false target information, localization methods for range deception jammers with different time delays are proposed. Finally, we model the configuration optimization problem as a multiobjective optimization problem (MOP), and the nondominated sorting genetic algorithm II is used to solve the MOP. As a result, the configuration distribution of multistatic SAR can be altered to exclude false targets from the region of interest, thereby obtaining a multistatic SAR image without false targets. Simulation results demonstrate that the proposed method is effective.

中文翻译：

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通过多基地 SAR 配置优化进行欺骗干扰定位和抑制


多基地合成孔径雷达（SAR）具有全天时、全天候、高分辨率成像的特点。它可以同时从不同方向观察目标，获得多角度观察信息。然而，干扰信号会影响多基地 SAR。当环境中存在多个距离欺骗干扰机时，多基地SAR图像中同时产生多个虚假目标，这会影响多基地SAR图像中包含的信息的可读性。虚假目标的位置与多基地SAR的配置有关；它可以通过调整配置来抑制干扰。因此，在本文中，我们通过配置优化提出了一种多干扰机环境中多基地 SAR 的干扰机定位和干扰抑制方法。首先，结合目标检测算法和判别算法来检测和识别错误目标。然后，分析了虚假目标的分布规律，根据干扰机的类型将虚假目标分为两类。结合多基地SAR配置和虚假目标信息，提出了不同时延的距离欺骗干扰机定位方法。最后，我们将配置优化问题建模为多目标优化问题（MOP），并使用非支配排序遗传算法II来求解MOP。结果，可以改变多基地SAR的配置分布以从感兴趣区域中排除虚假目标，从而获得没有虚假目标的多基地SAR图像。仿真结果表明该方法是有效的。