摘要
针对资源有限条件下的多传感器调度,综合考虑了环境条件、任务要求、目标状态与传感器特性,提出了一种基于修正的效能函数多传感器管理算法。设计了综合考虑环境因素和任务要求的面向对象的优先级函数;提出了基于观测协方差与传感器特性的传感器-目标的配对系数的量化;给出了可自适应的效能函数;通过仿真验证了该方法。仿真结果表明了该调度方案的有效性与适应性,其不仅能满足基本的观测任务需求,且当环境发生改变时能够自适应的对调度方式作出调整。
This paper presented an algorithm of multi-sensor management based on modified efficiency function synthetically considering the environmental factors, mission requirements, target statements and sensor characteristics to make it self-adaptive and suitable for multi-sensor management in resource limited area. Considering environmental factors and mission requirements, the object-oriented priority function was introduced on the basis of traditional algorithm. The sensor-target pairing coefficient was quantified on the basis of observed covariance and sensor characteristics. The modified efficiency function was given. The method was verified by this simulation. The results show that the algorithm is reasonable and effective. This function can not only meet the demand of basic observation tasks, but also adjusts itself for various conditions.
作者
张悦
ZHANG Yue(College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)
出处
《轻工机械》
CAS
2017年第5期43-47,共5页
Light Industry Machinery
基金
航空科学基金(2015ZC76006)
关键词
多传感器调度
匹配系数
修正效能函数
协同探测
multi-sensor scheduling
pairing coefficient
modified efficiency function
collaborative detection
