智能手机Wi-Fi往返时间测距室内定位方法Smart phone indoor positioning method based on Wi-Fi RTT ranging
白羽,柳景斌,杨晨云鹂,姚尧
摘要(Abstract):
针对室内活动场景下,额外布设定位基站成本较高,应用范围有限,基于手机的室内高精度位置服务需求难以满足的问题。考虑到Wi-Fi在全球网络中的广泛部署及智能手机内置多种运动传感器,本文实现了基于Wi-Fi RTT测距信息和手机内置多传感器的实时室内定位方法,并在室内进行静态和动态定位实验。实验结果表明:该算法无论是定位精度还是定位准度都优于仅依赖于Wi-Fi RTT测距信息的Wi-Fi RTT LS算法和Wi-Fi RTT UKF算法,平均定位误差为1.16 m,最大定位误差为2.14 m。
关键词(KeyWords): Wi-Fi往返时间;室内定位;智能手机;测距
基金项目(Foundation): 国家自然科学基金项目(41874031,42111530064);; 国家重点研发计划项目(2021YFB2501102);; 深圳市科技计划资助项目(JCYJ20210324123611032)
作者(Author): 白羽,柳景斌,杨晨云鹂,姚尧
DOI: 10.16251/j.cnki.1009-2307.2022.09.003
参考文献(References):
- [1] CHEN Xihui,PANG Jun.Protecting query privacy in location-based services[J].GeoInformatica,2014,18(1):95-133.
- [2] 刘经南,高柯夫.智能时代测绘与位置服务领域的挑战与机遇[J].武汉大学学报(信息科学版),2017,42(11):1506-1517.(LIU Jingnan,GAO Kefu.Challenges and opportunities for mapping and surveying and location based service in the age of intelligence[J].Geomatics and Information Science of Wuhan University,2017,42(11):1506-1517.)
- [3] LACHAPELLE G.GNSS indoor location technologies[J].Journal of Global Positioning Systems,2004,3(1&2):2-11.
- [4] KLEPEIS N E,NELSON W C,OTT W R,et al.The national human activity pattern survey(NHAPS):A resource for assessing exposure to environmental pollutants[J].Journal of Exposure Science & Environmental Epidemiology,2001,11(3):231-252.
- [5] MAHFOUZ M R,ZHANG Cemin,MERKL B C,et al.Investigation of high-accuracy indoor 3-D positioning using UWB technology[J].IEEE Transactions on Microwave Theory and Techniques,2008,56(6):1316-1330.
- [6] OZDENIZCI B,COSKUN V,OK K.NFC internal:An indoor navigation system[J].Sensors(Basel,Switzerland),2015,15(4):7571-7595.
- [7] HUANG C H,LEE Lunhui,HO C C,et al.Real-time RFID indoor positioning system based on Kalman-filter drift removal and heron-bilateration location estimation[J].IEEE Transactions on Instrumentation and Measurement,2015,64(3):728-739.
- [8] HUANG Baichuan,LIU Jingbin,SUN Wei,et al.A robust indoor positioning method based on bluetooth low energy with separate channel information[J].Sensors(Basel,Switzerland),2019,19(16):3487.
- [9] ZHEN Jiaqi,LIU Boshen,WANG Yanwei,et al.An improved method for indoor positioning based on ZigBee technique[J].International Journal of Embedded Systems,2020,13(3):292.
- [10] YANG Chouchang,SHAO Huairong.WiFi-based indoor positioning[J].IEEE Communications Magazine,2015,53(3):150-157.
- [11] GONG Xiaodong,LIU Jingbin,YANG Sheng,et al.A usability-enhanced smartphone indoor positioning solution using compressive sensing[J].IEEE Sensors Journal,2022,22(3):2823-2834.
- [12] CHEN Ruizhi,LI Zheng,YE Feng,et al.Precise indoor positioning based on acoustic ranging in smartphone[J].IEEE Transactions on Instrumentation and Measurement,2021,70:1-12.
- [13] GENG Jijun,XIA Linyuan,XIA Jingchao,et al.Smartphone-based pedestrian dead reckoning for 3D indoor positioning[J].Sensors(Basel,Switzerland),2021,21(24):8180.
- [14] YANG Sheng,LIU Jingbin,GONG Xiaodong,et al.A robust heading estimation solution for smartphone multisensor-integrated indoor positioning[J].IEEE Internet of Things Journal,2021,8(23):17186-17198.
- [15] AUSTIN.Wi-Fi CERTIFIED LocationTM brings Wi-Fi■ indoor positioning capabilities[EB/OL].(2017-02-22)[2022-04-15].https://wi-fi.org/news-events/newsroom/wi-fi-certified-location-brings-wi-fi-indoor-positioning-capabilities.
- [16] RAJASUNDARI T,BALAJI GANESH A,HARIPRAKASH A,et al.Weighted trilateration and centroid combined indoor localization in WiFi based sensor network[C]//Proceeding of the International Conference on Computer Networks,Big Data and IoT(ICCBI - 2018).[S.l.:s.n.],2020:163-172.
- [17] LI Zheng,LIU Jingbin,WANG Zemin,et al.A novel fingerprinting method of WiFi indoor positioning based on weibull signal model[C]//China Satellite Navigation Conference(CSNC)2018 Proceedings.Singapore:Springer,2018:297-309.
- [18] YANG Fan,XIONG Jian,LIU Jingbin,et al.A pairwise SSD fingerprinting method of smartphone indoor localization for enhanced usability[J].Remote Sensing,2019,11(5):566.
- [19] MA Zhenjie,SHI Ke,SONG Xiaomei,et al.Improving WiFi fingerprint positioning through smartphone built-in sensors based trajectory estimation[C]//Wireless Algorithms,Systems,and Applications.[S.l.:s.n.],2021:29-40.
- [20] ZHANG Mingyang,JIA Jie,CHEN Jian,et al.Indoor localization fusing WiFi with smartphone inertial sensors using LSTM networks[J].IEEE Internet of Things Journal,2021,8(17):13608-13623.
- [21] IBRAHIM M,LIU Hansi,JAWAHAR M,et al.Verification:accuracy evaluation of WiFi fine time measurements on an open platform[C]//MobiCom ’18:Proceedings of the 24th Annual International Conference on Mobile Computing and Networking.[S.l.:s.n.],2018:417-427.
- [22] LEVI R W,JUDD T.Dead reckoning navigational system using accelerometer to measure foot impacts:US5583776[P].1996-12-10.
- [23] KAPPI J,SYRJARINNE J,SAARINEN J.MEMS-IMU based pedestrian navigator for handheld devices[C]//Proceedings of the 14th international technical meeting of the satellite division of the institute of navigation(ION GPS 2001).Salt Lake City:[s.n.],2001:1369-1373.
- [24] FANG Lei,ANTSAKLIS P J,MONTESTRUQUE L A,et al.Design of a wireless assisted pedestrian dead reckoning system - the NavMote experience[J].IEEE Transactions on Instrumentation and Measurement,2005,54(6):2342-2358.
- [25] LEE J H,SHIN B,KIM S L J H,et al.Motion based adaptive step length estimation using smartphone[C]//The 18th IEEE International Symposium on Consumer Electronics.Jeju,Korea(South):IEEE,2014:1-2.
- [26] LACHAPELLE G,GODHA S,CANNON M.Performance of integrated HSGPS-IMU technology for pedestrian navigation under signal masking[C]//Proc.of the European Navigation Conference.[S.l.:s.n.],2006:1-24.
- [27] WEINBERG H.Using the ADXL 202 in pedometer and personal navigation applications[J].Analog Devices AN-602 Application Note,2002,2(2):1-6.