利用蓝牙信号强度的端端协同定位

Peer-to-peer cooperative positioning algorithm using bluetooth signal strength

针对单终端室内定位精度不高、可靠性低的问题,提出一种综合利用单终端指纹匹配定位结果、终端之间距离信息进行参数估计的端端协同定位算法:分析不同终端间的蓝牙信号强度统计特征,并选取合适的信号传播衰减模型来量化获取终端之间的距离观测值;然后阐明定位算法的函数模型和随机模型的构造方法。实验结果表明,相较于单终端定位算法,该算法可提高定位精度20%～30%。

Aiming at the problems of low accuracy and low reliability of single terminal indoor positioning,the paper proposed a peerto-peer cooperative positioning algorithm which integrates the fingerprint matching positioning results of single terminal with the distances between the terminals to estimate the parameters:the statistical characteristics of bluetooth signal strength between different terminals were analyzed,and the appropriate signal propagation attenuation model was selected to quantitatively obtain the distance observations between terminals;then the construction methods of the function model and stochastic model of the positioning algorithm were clarified.Experimental result showed that the proposed algorithm could improve the positioning accuracy by 20%to 30%compared with the single terminal positioning algorithm.