综合优先级规划下的相控阵雷达自适应调度方法

对时间资源的合理分配是相控阵雷达发挥自身优势的关键，提出一种考虑目标威胁度的相控阵雷达调度算法。根据目标信息构建非线性目标威胁度量化模型，并通过设计二维优先级表，将目标威胁度与雷达任务的截止期相结合，共同进行综合优先级规划；在性能评估环节，提出执行威胁率的概念，以反映调度算法对重要任务的执行情况。仿真结果表明，当跟踪目标数量饱和时，相比于原有的高工作方式优先级优先算法，改进后的算法有效减少了任务的截止期错失率，提升了时间利用率和执行威胁率。

Adaptive Scheduling Algorithm over Comprehensive Priority for Phased Array Radar

The high efficient time resource allocation in the phased array radar is the key to optimize its superiorities. A novel scheduling algorithm is proposed, which considers the threat level of targets. The nonlinear quantitative model of target threat level and the task deadline are mapped to the same layer to calculate the task comprehensive priority by designing the two-dimensional priority table. In the performance evaluation of the algorithm, the conception of executive threat rate is presented to reflect the execution of scheduling algorithm on the important tasks. The simulated results show that the proposed algorithm effectively decreases the deadline missing ratio of tasks, and improves the time utilization ratio and the executive threat rate compared with the previous high efficient priority algorithm in the saturated tracking task situation.