A Hybrid Intelligent Optimization Algorithm and Its Application on Multi-radar Network Position Planning

The multi-radar network detection system puts high requirements on position planning, which needs to optimize the deployment of radars so as to meet the operational requirements such as far detection, continuous tracking, accurately identification and information firepower integration of collaborative detection groups. At present, there are problems in application of radar position planning such as slow optimization speed, poor effectiveness and poor engineering availability. A hybrid intelligent optimization algorithm is proposed in this paper to solve the problem of multi-radar network position planning, by establishing a mathematical model of multi-radar deployment, the goal is to achieve optimal coverage in the airspace and the radar position is used as the optimization variable to automatically calculate deployment plans. The algorithm can be used to meet the requirements of different coverage levels of different missions and provide optimized deployment support for radar network collaborative detection.