空间探测相控阵雷达系统的任务优化编排仿真

摘要

An effective observation arrangement algorithm is very important in phased array radar system to optimize performance.Currently,local planning algorithm for detection period is most widely used,which causes mission missing.A novel observation arrangement algorithm for space surveillance phased array radar was proposed.We took the advantage of periodicity and predictability of space target' s transit,mined the intrinsic relation between nonmissing detection and more balanced resource utilization,and then,resource entropy was proposed to characterize the degree of resource balance,by which global optimization of the transiting target detection period selection was guided.In order to one target one detected while dramatically increasing the degree that resource utilization balanced,which finally leads to non-missing planning under the conditions of time resource not overloaded.Simulation results show the proposed algorithm can rationally plan radar missions,utilize the system resource effectively,and fulfill the observation requirement of satellite catalog.%任务优化编排是空间探测相控阵雷达系统效能发挥的关键.传统的空间探测大多采用探测时段局部优化的思路,可能导致任务丢失,不利于对空间目标的编目维持.针对上述问题,设计了一种全局的任务优化编排方法,利用空间目标过境的可预测性和周期性,挖掘探测任务无丢失和资源利用均衡程度的内在关系,提出了表征资源使用均衡程度的物理量——资源熵.然后通过资源熵引导雷达为过境目标选择合适的探测时段编排任务,实现了资源不过载条件下的任务无丢失规划.仿真结果表明,提出的编排算法显著提高了雷达系统时间资源利用的合理性,而且更加符合对空间目标编目维持的需求.