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基于WiFi/PDR的室内定位初始位置融合解算方法研究 被引量:3

Research on the Fusion Method of the Initial Position of Indoor Location Based on WiFi/PDR
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摘要 提出基于WiFi/PDR的初始位置融合解算方法。以检测到步数后0.2s内WiFi定位坐标为集合,将PDR中估算的相邻两步距离和航向角作为参照,通过距离阈值和角度阈值筛选相邻两步WiFi定位坐标,以距离和角度综合偏离度选择最优定位坐标。结果表明,该方法解算的初始位置精度为1.2~1.8m,比WiFi指纹定位误差缩小50%。 This paper proposes a fusion method of initial position based on WiFi/PDR.In this method,the WiFi positioning results within 0.2 s after the steps are detected are set,the adjacent two-step distances and heading angles estimated in the PDR are taken as reference,the adjacent two-step WiFi positioning results are screened by the distance and angle thresholds,and the optimal positioning results are chosen according to the degree of deviation from the angle.Experimental results show that the initial position accuracy of this method is 1.2-1.8 m,which is 50% smaller than WiFi fingerprint positioning error.
作者 李明峰 王珅 檀丁 LI Mingfeng;WANG Shen;TAN Ding(Institute of Surveying Science and Technology,Nanjing Tech University,30 South-Puzhu Road,Nanjing 211816,China;School of Geodesy and Geomatics,Wuhan University,129 Luoyu Road,Wuhan 430079,China)
出处 《大地测量与地球动力学》 CSCD 北大核心 2019年第6期602-606,共5页 Journal of Geodesy and Geodynamics
基金 江苏省重点研发计划(BE2015698) 南京市科技计划(201716027)~~
关键词 室内定位 WiFi指纹定位 行人航位推算 融合定位 indoor location WiFi fingerprint location pedestrian dead reckoning fusion location
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参考文献6

  • 1姚碧超..室内WiFi定位技术研究[D].电子科技大学,2017:
  • 2周飞..室内WiFi定位的研究[D].西南财经大学,2016:
  • 3黄承恺..多传感器信息融合算法在室内定位中的应用[D].北京邮电大学,2015:
  • 4李冬,张宝贤.基于指纹的室内定位技术[J].中兴通讯技术,2015,21(6):31-34. 被引量:6
  • 5殷虎..WLAN位置指纹室内定位技术[D].湖南大学,2016:
  • 6王珊..基于惯性传感器和WiFi联合室内定位方法的研究与实现[D].南京邮电大学,2015:

二级参考文献14

  • 1GU Y Y, LO A, NIEMEGEERS I. A Survey of Indoor Positioning Systems for Wireless Personal Networks [J]. IEEE Communications Surveys & Tutorials, 2009, 11(1):13-32. 被引量:1
  • 2LIU H, DARABI H, BANERJEE P, and LIU J. Survey of Wireless Indoor Positioning Techniques and Systems [J]. IEEE Systems, Man, and Cybernetics, Part C: Applications and Reviews, 2007, 37(6):1067-1080. 被引量:1
  • 3LIU Y H, YANG Z, WANG X P, and JIAN L R Location, Localization, and Localizability[J]. Springer Computer Science and Technology 2010, 25(2): 274-297. 被引量:1
  • 4VO Q D and DE P. A Survey of Fingerprint based Outdoor Localization [J]. IEEE Communications Surveys & Tutorials, 2015, (1): 99: 1-1. DOI: 10.1109/ COMST.2015.2448632. 被引量:1
  • 5BAHI P and PADMANABHAN V N. RADAR: an In-Building RF-Based User Location and Tracking System [C]//in Proceedings of IEEE INFOCOM 2000, 2000:75-784. 被引量:1
  • 6YOUSSEF M A and AGRAWALA A. The Horus WLAN Location Determination System [C]//in Proceedings of ACM MobiSys 2005, Seattle, USA, 2005:205-218. 被引量:1
  • 7BATTITI R, NHAT T L, and VILLANI A. Location-Aware Computing: A Neural Network Model for Determining Location in Wireless LANs [R]. Italy: University of Trento, Feb. 2002. 被引量:1
  • 8SEN S, RADUNOVIC B, CHOUDHURY R R, and MINKA T. You are Facing the Mona Lisa: Spot Localization Using PHY Layer Information [C]//in Proceedings of ACM MobiSys 2012, LOW Wood Bay, Lake District, United Kingdom, 2012:183-196. 被引量:1
  • 9CHEN Y, LYMBEROPULOS D, LIU J, and PRIYANTHA B. Indoor Localization Using FM Signals[J]. IEEE Transactions on Mobile Computing, 2013, 12(8): 1502-517. 被引量:1
  • 10OTSASON V, VARSHAVSKY A, LAMARCA A Y, and LARA E D. Accurate GSM Indoor Localization [C]//in Proceedings of UbiComp 2005, Tokyo, Japan, 2005:141-158. 被引量:1

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