相控阵雷达自适应调度算法仿真

Simulation on adaptive scheduling algorithm for phased array radar

摘要:

灵活、高效的调度算法是相控阵雷达发挥其性能优势的关键，而如何分配任务优先级对雷达性能有着决定性的影响。文章将BP神经网络引入调度算法，利用目标运动参数和跟踪状态实时自适应地分配任务优先级。算法根据优先级和时间约束，合理安排调度周期内雷达任务请求，选择优先级较高的那部分雷达任务执行，并通过仿真结果验证了算法的有效性。

Abstract:

An effective scheduling algorithm is very important for the phased array radar to optimize its performance, and the task priority assignment has crucial influence on radar performance. In this paper, a BP neural network is introduced to scheduling algorithm to assign priority for the target based on its flight parameters and track state instantaneously and adaptively. The proposed algorithm reasonably arranges the radar requests based on their priorities and time restriction, selects the most important of them to execute. The validity of the algorithm is proved by the results of the simulation.