基于WiFi和蓝牙融合的误差区域加权算法研究

Research on Weighted Location Algorithm of Error Region Based on WiFi and Bluetooth Fusion

基于接收信号强度(RSSI)的室内定位易受干扰且信号波动较大,导致定位误差较大,为解决这一问题,提出了一种基于Wi Fi和蓝牙融合的误差区域加权定位算法(ERWLA)。该算法在离线阶段采用Wi Fi和蓝牙信号强度的多边测量,得到相应定位可取区域,并利用区域面积设立置信度,进行融合加权得到Wi Fi和蓝牙融合位置信息。随后建立位置信息融合误差模型进行误差分析,利用移动最小二乘插值法(MLSI)对误差进行曲面拟合得到误差的拟合函数。在线采集实时位置信息,由算法得到融合位置信息并传递给误差拟合函数,得到加权拟合误差,从而获得最终的位置优化估计,实现高精度的定位服务。实验验证了该算法在定位精度和稳定性方面有较大的提升。

Based on the facts that indoor positioning of the received signal strength indicator(RSSI) is vulnerable to be interfered and has large signal fluctuation to result in a large positioning error,an error weighting positioning algorithm(ERWLA) based on the fusion of WiFi and Bluetooth is proposed. The algorithm adopts multilateral measurement of WiFi and bluetooth signal intensity in the off-line stage to obtain the appropriate location available area,and set the confidence by using region area to fusion weighting to obtain the fusion location information of WiFi and Bluetooth. Then the position information fusion error model is established for error analysis,and the curve fitting function is obtained by using the moving least square interpolation(MLSI). Real-time location information is collected online,and the integrated location information is obtained by the algorithm and transmitted to the error fitting function to obtain the weighted fitting error,so as to obtain the final position optimization estimation and realize the high-precision positioning service. Experimental results show that the algorithm improves the accuracy and stability of localization.