多雷达组网探测系统对雷达阵位规划提出较高要求,需要通过优化部署满足系统尽远发现、连续跟踪、准确识别、信火铰链等作战任务需求,目前雷达组网阵位规划的工程应用中存在寻优速度慢、效果不佳、工程可用性较差等问题,文中提出一种混合智能优化算法,用于解决多雷达组网阵位规划问题,通过建立多雷达阵位部署数学模型,以空域最优覆盖为目标,以各雷达阵位为优化变量,自动计算生成阵位部署方案,满足作战任务中不同覆盖程度的要求,为雷达组网协同探测提供优化部署保障。

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.

TN957.52