摘要
针对多目标跟踪系统中信息增量最大化只是传感器资源分配的必要条件而非充分条件,提出了一种新的目标权重和信息增量相结合的传感器分配方法,探讨了目标的距离和速度这两个特征参量影响目标权重的量化方法。仿真结果表明,该方法能够更有效地实现传感器资源对多目标的分配。
In the assignment of sensor resources to the problem of multi-targets tracking, the maximization of information gain is only a necessary condition rather than a sufficient condition. A new method of sensor assignment was proposed, which combines the target priority with the information gain. Quantitative methods to evaluate the influences of target distance and target velocity on the target priority were discussed. Simulation results show that the proposed method is better when it is used to assign sensor resources for multi-targets tracking.
出处
《吉林大学学报(工学版)》
EI
CAS
CSCD
北大核心
2009年第4期1115-1118,共4页
Journal of Jilin University:Engineering and Technology Edition
基金
国防科技重点实验室基金项目(51435030105QT2201)
关键词
信息处理技术
传感器分配
信息增量
目标权重
评判函数
information processing
sensor assignment
information gain
target priority
estimation function