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作 者:唐杰 黄铭[1] 林建喜 程骋 杨晶晶[1] Tang Jie;Huang Ming;Lin Jianxi;Cheng Cheng;Yang Jingjing(School of Information Science and Engineering,Yunnan University,Kunming 650091,China;Radio Monitoring Center of Yunnan Province,Kunming 650228,China)
机构地区:[1]云南大学信息学院,云南昆明650091 [2]云南省无线电监测中心,云南昆明650228
出 处:《电子技术应用》2024年第1期113-119,共7页Application of Electronic Technique
基 金:国家自然科学基金(61963037,62261059,61863035);云南大学研究生科研创新基金(2021Y193)。
摘 要:当前基于GPS与WiFi的室内外联合定位技术实现了较高定位精度,然而此类方法在过渡区域时需要处理两种不同场景的信号,存在越区平滑切换难以及缺乏有效的数据关联等问题。针对上述问题,将物理空间位置信息与WiFi信息关联建立了基于WiFi信号的室内外联合定位图模型,并使用Jaccard相似度算法进行室内外判定和一次定位。为了增加WiFi定位精度,使用三次样条插值扩充WiFi指纹库,并通过加权K近邻算法进行二次精准定位。实验结果表明,基于定位图模型的方法具有较高定位精度和较小的系统时延。此外,结合校园三维模型与前端技术开发了WiFi室内外联合定位系统,并部署在云服务器端,验证了所提出的定位方法具有潜在应用价值。The current indoor and outdoor joint positioning technology based on GPS and WiFi achieves high positioning accuracy.However,this type of method needs to process signals of two different scenarios in the transition area,and there are problems such as difficulty in smooth switching between areas,and lack of effective data association.In response to the above problems,this paper associates the physical space location information with WiFi information to establish an indoor and outdoor joint positioning map model based on WiFi signals,and uses the Jaccard similarity algorithm for indoor and outdoor judgment and onetime positioning.In order to increase the positioning accuracy of WiFi,this paper uses cubic spline interpolation to expand the WiFi fingerprint library,and uses the weighted K-nearest neighbor algorithm for secondary precise positioning.Experimental results show that the method based on the positioning map model has higher positioning accuracy and smaller system delay.In addition,combined with the campus 3D model and front-end technology,a WiFi indoor and outdoor joint positioning system was developed and deployed on the cloud server side,which verifies that the positioning method in this paper has potential application value.
分 类 号:TN92[电子电信—通信与信息系统]
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