杨保,张鹏飞,李军杰,路朋

• 1:北京四维远见信息技术有限公司
• 2:河南四维远见信息技术有限公司

摘要(Abstract)：

为解决GNSS定位技术的"最后一公里"问题,室内定位近年来成为定位领域的研究热点。为了满足室内定位和导航服务的需要,该文采用iBeacon信标节点,设计了一种蓝牙技术为基础的室内定位系统。利用不同AP对位置的影响差异,实现空间分割以自动构建指纹数据库,结合用户的运动状态实现室内定位。研究结果表明:该文的定位方案在500m2的室内环境下,定位精度优于2m,完全可以满足日常定位导航功能。

关键词(KeyWords)： 室内定位;蓝牙;空间分割;信号强度

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 杨保,张鹏飞,李军杰,路朋

DOI: 10.16251/j.cnki.1009-2307.2019.06.013

参考文献(References)：

• [1]陈祥.基于WIFI与移动智能终端的室内定位技术研究[D].哈尔滨:哈尔滨理工大学,2017.(CHEN Xiang.Research on indoor positioning technology based on WIFIand mobile intelligent terminal[D].Harbin:Harbin University of Science and Technology,2017.)
• [2]王益键.蓝牙室内定位关键技术的研究与实现[D].南京:东南大学,2015.(WANG Yijian.Research and implementation of key technologies of bluetooth indoor positioning[D].Nanjing:Southeast University,2015.)
• [3]CHEN Y C,CHIANG J R,CHU H H,et al.Sensorassisted wi-fi indoor location system for adapting to environmental dynamics[C]∥Proceedings of the 8th ACM International Symposium on Modeling,Analysis and Simulation of Wireless and Mobile Systems.New York:ACM,2005:118-125.
• [4]卞合善.基于蓝牙4.0低功耗室内定位研究[D].北京:北京邮电大学,2015.(BIAN Heshan.Research of indoor location technology based on bluetooth low energy 4.0[D].Beijing:Beijing University of Posts and Telecommunications,2015.)
• [5]BAI Rulong,YAN Tao.Research on TDOA estimation algorithm based on phase correction[J].Radio Communications Technology,2013,39(2):69-71.
• [6]OPSAHL T,AGNEESSENS F,SKVORETZ J.Node centrality in weighted networks:generalizing degree and shortest paths[J].Social Networks,2010,32(3):245-251.
• [7]SEIDEL S Y,RAPPAPORT T S.914 MHz path loss prediction models for indoor wireless communications in multifloored buildings[J].IEEE Transactions on Antennas and Propagation,1992,40(2):207-217.
• [8]LIM H,KUNG L C,HOU J C,et al.Zero-configuration indoor localization over IEEE 802.11wireless infrastructure[J].Wireless Networks,2010,16(2):405-420.
• [9]BRUNATO M,BATTITI R.Statistical learning theory for location fingerprinting in wireless LANs[J].Computer Networks:the International Journal of Computer and Telecommunications Networking,2005,47(6):825-845.
• [10]黄叶超.基于蓝牙技术的室内定位算法研究[D].西安:西安电子科技大学,2017.(HUANG Yechao.The research of indoor positioning algorithm based on bluetooth technology[D].Xi’an:Xidian University,2017.)
• [11]JIN M,YU C,LAI H,et al.Zigbee positioning system for smart home application[C]∥Frontiers of High Performance Computing and Networking ISPA 2007Workshops.Berlin:Springer,2007:183-192.
• [12]JUNGLAS I A,WATSON R T.Location-based services[J].Communications of the ACM,2008,51(51):65-69.
• [13]韩旭海,夏文龙,周渊平.基于线性加权的蓝牙室内定位算法[J].计算机系统应用,2015,24(1):119-122.(HANXuhai,XIA Wenlong,ZHOU Yuanping.Bluetooth indoor positioning algorithm based on linear weighted[J].Computer Systems&Application,2015,24(1):119-122.)
• [14]王琦.基于RSSI测距的室内定位技术[J].电子科技,2012,25(6):64-66,78.(WANG Qi.Research on an indoor positioning technology based on RSSI ranging[J].Electronic Science&Technology,2012,25(6):64-66,78.)
• [15]JIMENEZ A R,SECO F,PRIETO J C,et al.Indoor pedestrian navigation using an INS/EKF framework for yaw drift reductionand a foot-mounted IMU[C]∥2010IEEE Workshop on Positioning,Navigation and Communication.Dresden,Germany:IEEE,2010.
• [16]COVER T,HART P.Nearest neighbor pattern classification[J].IEEE Transactions on Information Theory,1967,13(1):21-27.
• [17]卢燕,栗勇军.基于低功耗蓝牙的室内定位技术研究[J].测控技术,2018(4):55-57,63.(LU Yan,LIYongjun.Research on indoor positioning technology based on low power bluetooth[J].Measurement and Control Technology,2018(4):55-57,63.)
• [18]车龙,胡达科,林立峰.一种基于iBeacon技术在室内定位上的应用[J].信息通信,2017(6):9-10.(CHELong,HU Dake,LIN Lifeng.Application of iBeacon technology in indoor positioning[J].Information and Communications,2017(6):9-10.)