基于二次规划的相控阵雷达任务自适应调度算法

Adaptive scheduling algorithm based on quadratic programming for multifunction phased array radars

雷达任务自适应调度是目前相控阵雷达资源管理研究的热点问题。以加权时间偏移量平方和最小为调度代价标准,基于相控阵雷达任务二次规划数学模型,证明最优解存在条件,并给出一种最优解的解析求解算法。与数值解法相比,解析求解算法有效提高了算法的快速性。对航空护卫舰舰载相控阵雷达真实工作环境进行一系列仿真,仿真结果表明,所提算法有效提高了雷达高优先级任务调度的调度成功率,降低了任务调度代价。

An adaptive scheduling algorithm is the focus of the phased array radar resource management research.A quadratic programming model with the minimizing sum of square of the weighted time offset as the scheduling cost criterion is proposed for phased array radar task scheduling.Then the existence conditions of the optimal solution are proved,and an analytical algorithm is given to solve the optimal solution.Compared with the numerical solution,the analytical solution effectively improves the fastness of the algorithm.A series of simulations based on a real phased array radar for air defense frigates show that the proposed algorithm can improve the scheduling success rate and reduce the task scheduling cost.