基于ZigBee技术的室内定位系统算法研究及实现

随着当今社会城市化进程的快速发展,人们对于在复杂环境内的定位需求越来越迫切。由于建筑物的遮挡使得GPS定位在室内不容易实现。文中设计了一种基于ZigBee技术的室内定位系统（IPS）的解决方案。结合信号强度测距法（RSSI）与场景指纹定位法,提出RSS场景指纹定位法。该算法采用RSS“场景特征信息”作为定位场景的“指纹信息”,来建立“指纹信息”数据库,并通过TI公司的Z-stack的硬件平台实现了该算法。测试结果表明,该定位系统在覆盖超过20m＊20 m的面积里使用4个参考节点就能以2 m以内的平均定位误差实现室内定位,满足普通的定位需求。

Research and Realization of Indoor Positioning System Algorithm Based on ZigBee

The fast process of urbanization makes the need of position in a complex environment more and more urgent. However,when GPS comes into in-door places,the concrete of the building shields most of the GPS satellite signals and makes the GPS position impossi-ble. It gives a possible solution of in-door positioning system based on ZigBee technology. RSS scene fingerprint positioning method is proposed combining the ranging algorithm based on the received signal strength and scene fingerprinting algorithm. Using RSS “scene characters information” as the“fingerprint information” in the positioning area,then establish the“fingerprint information” database,and using TI company - Z-stack hardware platform to realize this algorithm. The test results show that the positioning system in covering more than 20 m ＊20 m in the area of the four reference node can be in 2 m less than the average position error has realized the indoor positioning,meeting the demand of ordinary position.