Scheduling Algorithm Based on Value Optimization for Phased Array Radar
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摘要:
针对相控阵雷达时间资源分配问题，该文提出一种基于价值优化的任务调度算法。首先建立任务调度属性参数，对跟踪任务队列进行可行性分析和筛选操作，确定跟踪任务调度属性。其次，根据任务最大价值及其变化斜率，建立关于实际执行时刻的动态任务价值函数，并基于此构建任务调度的价值优化模型，对跟踪任务执行时刻进行分配，以更好满足及时性原则。最后，利用执行跟踪任务间的空闲时间片对搜索任务进行调度。仿真结果表明，该文算法有效减小了时间偏移量，提升了实现价值率。
Abstract:A task scheduling algorithm based on value optimization is proposed for phased array radar. Firstly, the schedulability of tracking tasks is obtained through feasibility analysis and selecting operation on the task queue, using the proposed schedulability parameters. Then, a dynamic task value function about the actual execution time is established according to the peak value and value changing slope of tasks. A value optimization model for tracking task scheduling is constructed based on the task value function. Timeliness can be better achieved while adopting this model to assign execution time for tasks. Finally, searching tasks are scheduled using the idle time intervals between tracking tasks which are going to be executed. Simulation results show that proposed algorithm reduces the average time shift ratio, and improves the value achieving ratio compared with the traditional scheduling algorithms.
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Key words:
- Phased array radar /
- Resource management /
- Task scheduling /
- Timeliness
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表 1 跟踪任务参数设置
跟踪任务类别 $P$ ${V^*}$ $\delta $=$\theta $ 时间窗(ms) $\Delta t$(ms) $ti$ 高价值 4 1000 35 30 2 300 ms 中价值 3 600 10 50 2 600 ms 低价值 2 200 3 60 2 1 s 
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