A Networked Radar Beam Allocation Method for Multi-Target Tracking in Multi-Jammer Scenario

This paper focuses on the problem of mainlobe interference suppression in radar networks tracking multi-target scenarios with multiple jammers. A beam allocation method is proposed based on stepwise suppression of mainlobe and sidelobe interference. Although a single radar can effectively suppress sidelobe interference, mainlobe interference necessitates collaborative countermeasures among multiple radar nodes, indicating that the beam allocation method significantly impacts interference suppression performance. We derive the mathematical relationship between target tracking accuracy and beam allocation strategy to address this. Subsequently, we establish a beam allocation model, with the beam allocation matrix as the optimisation variable and target tracking accuracy as the optimisation objective. One intelligent algorithm is employed to solve this model. Simulation results demonstrate that the proposed method optimises the allocation of anti-jamming resources in the radar network, leading to efficient interference suppression and stable target tracking.