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一种基于全向指纹库的WiFi室内定位方法
引用本文:毕京学,汪云甲,曹鸿基,王永康.一种基于全向指纹库的WiFi室内定位方法[J].测绘通报,2018,0(2):25-29.
作者姓名:毕京学  汪云甲  曹鸿基  王永康
作者单位:中国矿业大学环境与测绘学院, 江苏 徐州 221116
基金项目:国家重点研发计划,江苏省普通高校学术学位研究生创新计划
摘    要:WiFi室内定位技术是导航与位置服务领域的研究热点。室内环境下WiFi信号衰减受人体遮蔽影响较大,本文考虑了用户朝向引起的信号强度差异,提出了一种基于全向指纹库的WiFi室内定位方法。试验结果表明,该方法定位精度高于基于方向识别的指纹定位方法,当K取4时,平均定位误差为1.44 m,定位精度优于1 m的置信概率为54%,优于2 m的置信概率为88%。

关 键 词:室内定位  WiFi  用户朝向  全向指纹库  方向识别  
收稿时间:2017-08-05

A Method of WiFi Indoor Positioning Based on Omnidirectional Fingerprint Database
BI Jingxue,WANG Yunjia,CAO Hongji,WANG Yongkang.A Method of WiFi Indoor Positioning Based on Omnidirectional Fingerprint Database[J].Bulletin of Surveying and Mapping,2018,0(2):25-29.
Authors:BI Jingxue  WANG Yunjia  CAO Hongji  WANG Yongkang
Institution:School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
Abstract:WiFi indoor positioning technology is an attractive research topic in the domain of navigation and location service. Human body has a great influence on WiFi signal attenuation in indoor environment.In this paper,we propose a method of WKNN positioning based on omnidirectional fingerprint database considering signal strength variations caused by user's orientation.The experimental results show that the proposed method has a better performance than fingerprinting localization based on orientation recognition.When the value of K is 4,the mean localization error is 1.44 m,and the confidential probability with 1 m is almost 54%,the confidential probability with 2 m is almost 88%.
Keywords:indoor positioning  wireless fidelity  user's orientation  omnidirectional fingerprint database  orientation recognition  
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