基于扩展域的相控阵雷达自适应驻留调度

Adaptive Dwell Scheduling in Phased Array Radars Based on Extended Horizon

传统的自适应相控阵雷达驻留调度方法难以在满足时间和能量约束的同时分析任务的可调度性。根据系统负载的动态性建立了驻留请求的任务模型,并提出了一种基于扩展域的自适应调度算法,将调度时域扩展到多个调度间隔,在每个调度间隔根据雷达事件的优先级和截止期合理地安排驻留请求。仿真表明,该算法在扩展域内的调度性能是可预知的,不仅提高了时间利用率,而且可有效降低任务的错失率。

It is hard for conventional adaptive scheduling mechanisms in phased array radars to analyze the schedulability of tasks when their timing constraints and energy constraints are taken into account. According to dynamic system workload, novel task models are built for various dwell requests, and an adaptive scheduling algorithm based on extended horizon is presented, which extends the scheduling horizon from one scheduling interval （SI） to multiple SIs. In every SI the dwell requests are scheduled by synthetic order of priority and deadline. Simulation shows that the scheduling performance is predictable, compared with conventional method, the algorithm proposed not only increases time utilization, but also effectively decreases the missing ratio of tasks.