基于ZigBee与加权质心法的室内定位方案研究

Study of Indoor Location Scheme Based on ZigBee Combined with Weighted Qualitative Method

提出基于ZigBee无线网络技术和改进的加权质心算法的室内定位方案。这种定位方式对硬件要求不高,功耗低,可以弥补TI CC2431本身定位引擎易受环境干扰的缺陷。采用基于RSSI的测距原理,通过分析数据包信息,选取与待测节点距离较近的参考节点连成一块区域,引入加权因子,进行质心坐标计算,从而得出未知节点的位置坐标。应用改进的加权质心算法结合ZigBee网络进行室内定位仿真测试,仿真结果表明:该方案定位精度较高,系统稳定性好。

An indoor location scheme based on ZigBee wireless network technique with improved weighted qualitative algorithm was presented. The hardware requirement of this method was not very high, and the power consumption was low. The disadvantage of that the engine positioning of TI CC2431 was easy to be interfered by the environment could be remedied. Based on the principle of RSSI ranging, through analyzing the data packet, an area which connected by reference nodes near to the blind nodes was selected and the weight factor was led to figure out the coordinates of the centroid, then the coordinate of the blind nodes were obtained. The simulation test was made based on improved weighted qualitative algorithm combined with ZigBee wireless network. The results show that the location accuracy is quite high, and the system stability is good.