Deployment of Airborne Distributed MIMO Radar for Task Reinforcement

Airborne radar deployment optimization signifi-cantly enhances the utilization ratio of resources such as flight loss and strengthens the target detection capability. This article investigates a deployment optimization method of airborne dis-tributed multiple input multiple output (MIMO) radar for task reinforecement. In order to improve detection ability and reduce flight loss, we use effective coverage rate and total flight cost as objective functions and develop a multi-objective optimization model. Considering that the problem has more than one objective and dimension, we propose a multi-objective particle swarm optimization with dynamic weight relative crowding distance (MOPSO-DWRCD) algorithm. Compared to traditional MOPSO, MOPSO-DWRCD exhibits better performance in global optimal solution selection in each iteration. Finally, simulation results are provided to verify the effectiveness of the proposed algorithm.