Optimized Array Configuration for Enhanced Jamming Localization and Suppression in Distributed Radar Systems

In the evolving landscape of modern electronic warfare, radar systems frequently encounter significant challenges due to adversarial blanket jamming, which severely undermines their operational capabilities. To counteract these threats, this paper introduces a novel approach for jammer localization and suppression for a distributed radar system. Our method integrates Angle of Arrival (AOA) and Received Signal Strength (RSS) information to achieve precise localization of jamming sources. By accurately pinpointing the source of jammer, the system can implement targeted countermeasures to mitigate its impact. Building upon this localization framework, we propose a joint array optimization strategy that optimizes the layout of the distributed radar system by holistically maximizing multi-domain localization accuracy and enhancing anti-jamming performance. This optimization is facilitated by leveraging the Multi-Objective Particle Swarm Optimization algorithm (MOPSO), which enables the system to adaptively configure its array layout for optimal performance. Extensive simulations validate the efficacy of our proposed method. The results demonstrate that our approach not only achieves superior localization accuracy but also significantly improves the overall performance of jamming suppression in a distributed radar system.