A Cognitive UAV-SAR Resource Adaptive Scheduling Method for Mutual Interference Suppression

Traditional Synthetic Aperture Radar (SAR) systems lack the capability to dynamically adjust their operational modes and system parameters in response to environmental variations, resulting in low execution efficiency, significant resource wastage, and an inability to effectively handle mutual interference with electronic communication devices. This paper introduces the concept of cognitive radar, enabling SAR systems to adaptively optimize resource allocation. Leveraging the adaptive characteristics of cognitive SAR, we propose a strategy to mitigate both intentional and unintentional interference in complex electromagnetic environments by rationally partitioning frequency bands to avoid interference. Simulation results demonstrate that the proposed design not only meets imaging performance requirements but also effectively circumvents interference-prone frequency bands, thereby enhancing resource utilization efficiency and anti-interference capabilities.