利用蓝牙信号强度的端端协同定位

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英文篇名：Peer-to-peer cooperative positioning algorithm using bluetooth signal strength 作者：张昌庆 ; 黄劲松 英文作者：ZHANG Changqing;HUANG Jingsong;School of Geodesy and Geomatics, Wuhan University; 关键词：端端协同定位 ; 蓝牙信号强度 ; 随机模型 ; 参数估计 ; 室内定位 英文关键词：peer-to-peer cooperative positioning;;bluetooth signal strength;;stochastic model;;parameter estimation;;indoor positioning 中文刊名：CHWZ 英文刊名：Journal of Navigation and Positioning 机构：武汉大学测绘学院; 出版日期：2019-05-31 出版单位：导航定位学报 年：2019 期：v.7;No.26 基金：国家重点研发计划项目(2016YFB0501803) 语种：中文; 页：CHWZ201902003 页数：7 CN：02 ISSN：10-1096/P 分类号：21-27

摘要

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.

引文

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