司明豪,汪云甲,徐生磊,孙猛

• 1:中国矿业大学环境与测绘学院

摘要(Abstract)：

针对目前基于WiFi的室内楼层识别方法大多要求各楼层接入点(AP)部署密度相近的问题,本文通过模拟了楼层识别率低的环境并进行实验验证,分析了造成识别率下降的原因,设计了一种顾及AP部署密度差异的室内楼层识别方法。该方法根据扫描到AP的局域网地址(Mac)和信号强度进行二次判断获得楼层估计。实验模拟了不同楼层AP部署密度相差较大的环境,并分别使用基于K最近邻(KNN)的楼层识别方法和本文方法进行实验对比。实验结果表明:在AP部署密度相差较大情况下基于KNN的楼层识别方法识别率为88%,较正常部署环境下降了10%,而本文方法识别率仍可达98%,且在不同部署情况下识别率均高于基于KNN的楼层识别方法。

关键词(KeyWords)： 室内定位;信号衰减;WLAN;楼层识别;AP部署密度

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划项目(2016YFB0502102)

作者(Author): 司明豪,汪云甲,徐生磊,孙猛

DOI: 10.16251/j.cnki.1009-2307.2020.05.021

参考文献(References)：

• [1] LOHAN E S,TALVITIE J,SILVA P F E,et al.Received signal strength models for WLAN and BLE-based indoor positioning in multi-floor buildings[C]//International Conference on Localization and GNSS.Gothenburg,Sweden:IEEE,2015:1-6.
• [2] LIU H,DARABI H S,BANERJEE P,et al.Survey of wireless indoor positioning techniques and systems[J].IEEE Transactions on Systems Man & Cybernetics Part C,2007,37(6):1067-1080.
• [3] KAEMARUNGSI K,KRISHNAMURTHY P.Properties of indoor received signal strength for WLAN location fingerprinting[EB/OL].[2019-01-18].https://www.docin.com/p-191073310.html.
• [4] MODER T,HAFNER P,WISIOL K,et al.3D indoor positioning with pedestrian dead reckoning and activity recognition based on Bayes filtering[C]//International Conference on Indoor Positioning and Indoor Navigation.Busan,South Korea:IEEE,2015:717-720.
• [5] DAVIDSON P,COLLIN J,TAKALA J.Application of particle filters for indoor positioning using floor plans[C]//Ubiquitous Positioning Indoor Navigation & Location Based Service.Kirkkonummi,Finland:IEEE,2010:1-4.
• [6] ABD RAHMAN M A,DASHTI M,ZHANG J.Floor determination for positioning in multi-story building[C]//Wireless Communications and Networking Conference.Istanbul,Turkey:IEEE,2014:2540-2545.
• [7] VARSHAVSKY A,LAMARCA A,HIGHTOWER J,et al.The skyloc floor localization system[C]//IEEE International Conference on Pervasive Computing and Communications.[S.l.]:IEEE Computer Society,2007:125-134.
• [8] DORTZ N L,GAIN F,ZETTERBERG P.WiFi fingerprint indoor positioning system using probability distribution comparison[C]//IEEE International Conference on Acoustics,Speech and Signal Processing.[S.l]:IEEE,2012:2301-2304.
• [9] XIA H,WANG X G,QIAO Y Y,et al.Using multiple barometers to detect the floor location of smart phones with built-in barometric sensors for indoor positioning[J].Sensors,2015,15(4):7857-7877.
• [10] 桂宇贵,孙佳,吴杰,等.基于GPS/气压高度计的高度数据融合算法研究[J].机械与电子,2017,35(1):11-14.(GUI Yugui,SUN Jia,WU Jie,et al.Research on height data fusion algorithm based on GPS/barometric altimeter[J].Machinery and Electronics,2017,35(1):11-14.)
• [11] 王玮,邓中亮,焦继超,等.基于差分气压测高、PDR、地图匹配的楼层切换技术[C]//中国卫星导航学术年会.[出版地不详:出版源不详],2017.(WANG Wei,DENG Zhongliang,JIAO Jichao,et al.Floor switch technology based on differential barometric altimeter,PDR and map matching [C]//China Satellite Navigation Conference.[S.l.:s.n.],2017.)
• [12] ZHAO F,LUO H Y,ZHAO X Q,et al.HYFI:hybrid floor identification based on wireless fingerprinting and barometric pressure[J].IEEE Transactions on Industrial Informatics,2017,13(1):330-341.
• [13] 付杰尉.一种室内楼层定位方法[J].数字技术与应用,2018,36(4):107.(FU Jiewei,The indoor floor positioning method[J].Digital Technology & Application,2018,36(4):107.)
• [14] 何韬.基于传感器数据融合的WiFi室内定位算法设计及应用研究[D].杭州:浙江大学,2016.(HE Tao.An indoor positioning algorithm based on WiFi and sensor data fusion[D].Hangzhou:Zhejiang University,2016.)
• [15] 黎海涛,齐双.基于室内地图环境信息的多楼层WiFi定位技术研究[J].电子科技大学学报,2017,46(1):32-37.(LI Haitao,QI Shuang,Indoor map information based WiFi positioning technology for multi-floor buildings[J].Journal of University of Electronic Science and Technology of China,2017,46(1):32-37.)
• [16] 邓中亮,王文杰,徐连明.一种基于K-means算法的WLAN室内定位楼层判别方法[J].软件,2012,33(12):114-117.(DENG Zhongliang,WANG Wenjie,XU Lianming.A K-means based method to identify floor in WLAN indoor position system[J].Computer Engineering & Software,2012,33(12):114-117.)
• [17] 艾浩军,李泰舟,王玙璠.WiFi指纹定位中的楼层辨识方法研究[J].武汉理工大学学报(信息与管理工程版),2015(3):269-273.(AI Haojun,LI Taizhou,WANG Yufan.Method to identify floor in WiFi fingerprinting location system[J] Journal of Wuhan University of Technology (Information & Management Engineering),2015(3):269-273.)
• [18] 俞敏杰,易平,关汉男.基于快速部署的室内多楼层定位算法研究[J].计算机工程,2014,40(9):23-26.(YU Minjie,YI Ping,GUAN Hannan.Research of indoor multi-storey localization alogorithm based on quick deployment[J].Computer Engineering,2014,40(9):23-26.)
• [19] AHMADI A S,OMER A I,KAMARUDIN M R,et al.Multi-floor indoor positioning system using Bayesian graphical model[J].Progress in Electromagnetics Research B,2010(25):241-259.