以任务需求为驱动的多传感器资源管理方法  

Multi-sensor resource management method driven by task requirement

作　　者：王琳[1] 于雷[1] 寇英信[1] 高成金[1] 

机构地区：[1]空军工程大学工程学院,陕西西安710038

出　　处：《系统工程与电子技术》2010年第9期1925-1930,共6页Systems Engineering and Electronics

基　　金："十一五"国防基金(KJ-050402011);空军装备重点基金(KJ-06085);航空科学基金(20085196011)资助课题

摘　　要：针对战斗机火控系统跟踪多目标过程中传感器资源管理问题,提出一种以任务需求为驱动的多传感器管理方法。该方法首先利用矩阵求迹的方式度量跟踪任务的信息需求;然后在分析任务优先级和传感器使用代价的基础上,建立以任务需求为驱动的多传感器集中式管理模型,并根据多个跟踪任务的信息需求自适应地分配传感器资源;对于分配过程中出现的NP(non-deterministic polynomial)难问题,探讨了利用改进蚁群优化算法寻找满足任务需求的最优传感器组合的可行性,并给出传感器自适应分配方案。仿真结果表明,这种管理方法可以在保证跟踪精度的条件下,根据任务的信息需求合理地分配传感器资源;此外,以任务需求为驱动的传感器管理策略可以大幅减少主动式传感器的工作时间,对于提高战斗机的生存性具有重要的工程应用价值。A task requirement driven multi-sensor management method is proposed for airborne fire control system tracking multi-target.Firstly,the matrix trace is used to compute an information requirement of tracking tasks.Then,on the basis of analysing task priority and the cost of sensors usage,the task requirement driven multi-sensor concentrated management model is estabilished.Sensors resources are adaptively allocated according to the requirement of tracking tasks.With regard to non-deterministic polynomial-hard question in the course of allocation,an improved ant colony algorithm is researched for finding the optimization sensors combination.The simulation results show that under ensuring tracking precision condition,the method could rationally allocate sensors resource based on the tracking task requirement.The task requirement driven multi-sensor management method could obviously reduce the working time of active sensors,which is greatly helpful for enhancing battleplane subsistence.

关 键 词：多传感器资源管理 任务需求 自适应分配 蚁群算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]