摘要
为适应目标环境变化情况,提出了一种基于模糊逻辑优先级的雷达任务自适应调度算法。该方法基于目标运动状态和属性通过模糊逻辑推理动态确定任务的优先级,并结合时间窗的特点采用一步回溯方法调整发生冲突的任务,保证更多高优先级的任务在其期望的时间内被调度。仿真结果表明,该调度算法在保证调度率的前提下降低了任务的调度代价。
An adaptive scheduling algorithm based on the fuzzy logic priority for multifunction radars is proposed to adapt target changes in the complex battlefield environment.In this method,the task priority is dynamically determined based on the properties of the targets of the fuzzy logic system.A step backward procedure is used to adjust the launch time of each conflict task in a time window that the higher priority tasks can be scheduled in its expected time.Simulation results show that the adaptive scheduling algorithm reduces the cost of scheduling under the premise of maintaining a good scheduling rate.
出处
《江南大学学报(自然科学版)》
CAS
2013年第5期591-595,共5页
Joural of Jiangnan University (Natural Science Edition)
基金
国家自然科学基金项目(61004119
61174024)
国家973计划项目(2009CB320602
2012CB821204)