关键词: 合成孔径雷达, 无源干扰, 重要性分布图

Abstract:

Synthetic aperture radar (SAR) is widely employed in geospatial mapping, national defense, and microwave remote sensing due to its capability for high-resolution imaging under all-weather, all-day conditions. Consequently, developing effective jamming techniques to degrade SAR-based target reconnaissance and identification has become a critical challenge in radar countermeasure research. This study proposes a method to generate importance distribution maps through spatial coordinate transformation, capturing the spatial relationships and relative importance of targets within a scene. Based on this map, a SAR passive jamming control method is developed. A U-Net-based architecture is constructed to design a decision-making algorithm for radar jamming strategies, aiming to prioritize the protection of critical targets with minimal resource expenditure. Simulation results demonstrate that this method visualizes the interference problem by constructing an importance distribution map and uses advanced artificial intelligence algorithms for the control and decision-making of passive motion interference devices, achieving collaborative decision-making among multiple interference devices and significantly enhancing the intelligence level of SAR passive interference. Across different scenarios, the algorithm-generated jamming strategies effectively disrupt the target areas, with jamming strips fully covering the regions of interest in each case.

Key words: synthetic aperture radar, passive jamming, importance distribution map