基于ZigBee矿井人员跟踪定位的方法研究

Research on Mining Personnel Tracking and Localization Algorithm Based on ZigBee network

根据目标跟踪对定位算法的要求,对ZigBee无线传感器网络节点定位算法进行设计,采用基于接收信号强度指示(RSSI)的加权质心定位算法进行目标定位,并预测下一时刻位置,以唤醒邻居信标节点参与跟踪;该算法既有较高的准确度,又不增加通信开销,是一种用于适合矿井人员目标跟踪的比较经济准确的定位解决方案,并且在对目标跟踪算法的仿真中证明了该跟踪算法有更高的精确度。

According to the localization requirements of target tracking, the localization algorithm for the ZigBee wireless sensor networks nodes is designed and propose the weighted centriod localization algorithm based on received signal strength indication（RSSI）, and forecast for the next position to wake up neighbor nodes to participate in tracking. The algorithm decreases the communication overhead and improves the localization accuracy. So this method is a more economy and precise localization algorithm for mining personnel target tracking. It is proved that the tracking algorithm has higher precision in the simulation of tracking algorithm.