摘要
提出一种贝叶斯目标跟踪定位算法。针对问题模型,进行网络拓扑结构建立,采用贝叶斯方法对目标下一位置区域进行预测,从而对目标进行跟踪优化,实现选取合适的定位参与节点。通过实验仿真表明,该算法能够有效实现目标节点的跟踪定位。
A Bayesian target tracking and localization algorithm is proposed. In view of the model problem,network topology structure established,Bayesian method was used to estimate the target location area,the object tracking optimization,to achieve selection suitable positioning of participating nodes.The experimental results show that the algorithm can effectively achieve the tracking and positioning of the target node.
出处
《工业仪表与自动化装置》
2016年第2期127-130,共4页
Industrial Instrumentation & Automation
基金
国家自然科学基金项目(61462057)
关键词
贝叶斯
无线传感器网络
跟踪定位
Bayesian
wireless sensor network
tracking and locating
