论文部分内容阅读
针对防空相控阵雷达负载饱和情况下的时间分配问题,提出一种基于目标威胁密度和截止期的雷达任务动态优先级调度算法。根据目标信息建立非线性目标威胁度模型并设计动态优先级表,然后,利用目标威胁度、任务驻留时间和截止期共同确定任务的综合优先级。在此基础上,提出执行威胁率(TRE)的评估指标,以反映调度算法对重要任务的执行情况。仿真结果表明,在饱和时序下,相比于传统的截止期最早最优先算法,改进算法的搜索性能提高了43%,执行威胁率提高了52%。
Aiming at the time distribution problem of air defense phased array radar under load saturation, a dynamic priority scheduling algorithm based on target threat density and deadline is proposed. According to the target information, a non-linear target threat model is established and a dynamic priority table is designed. Then, the overall priority of the task is determined by using the target threat degree, the task dwell time and the deadline. On this basis, the evaluation index of the execution threat rate (TRE) is proposed to reflect the implementation of the scheduling task on important tasks. The simulation results show that the proposed algorithm improves the search performance by 43% and the execution threat by 52% compared with the traditional deadliest first priority algorithm under the saturation sequence.