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蓝牙4.0标准规范下的模糊指纹定位算法 被引量:25

Fuzzy Fingerprint Location for Bluetooth Specification Version 4.0
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摘要 蓝牙技术的普及以及蓝牙4.0标准规范的提出,使得利用蓝牙技术实现室内定位具有极其广阔的应用前景.把模糊理论应用于蓝牙室内定位系统,提出一种模糊指纹定位算法.基于该算法的定位过程分为离线和在线两个阶段:离线阶段建立模糊指纹库;在线阶段对手机客户端进行实时模糊决策定位.仿真实验结果表明,该算法的平均定位误差为1.36 m,相比于传统的指纹标定法,其定位精度提高约49%,而计算量缩减至原来的1/c,其中c为模糊聚类类别数. Popularity of Bluetooth technology and the proposition of Bluetooth Specification Version 4.0 make indoor location have a broad application prospect.The fuzzy theory is applied in indoor location based on Bluetooth,and a fuzzy fingerprint location algorithm is proposed.The location process is divided into two parts: off-line and on-line.A fuzzy fingerprint database is established in the off-line stage,and real-time location of cell phone clients is realized in the on-line stage.Simulation results show that the average location error is 1.36 m.Compared with traditional fingerprint calibration method,location precision is improved by 49%and computation complexity is reduced to 1/c where c is the category number of fuzzy clustering.
出处 《上海大学学报(自然科学版)》 CAS CSCD 北大核心 2013年第2期126-131,共6页 Journal of Shanghai University:Natural Science Edition
基金 上海市科委基金重点资助项目(08706201000 08700741000) 上海市教委重点学科建设资助项目(J50104)
关键词 蓝牙4 0标准规范 室内定位 模糊理论 位置指纹 实时 Bluetooth Specification Version 4.0 indoor location fuzzy theory location fingerprint real-time
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  • 1LUJAN S, SUARDIAZ-MURO J, CABRERA-LozOYA A, et al. Deeploc: discreet indoor people location application [C]//4th IFIP International Conference on New Technologies, Mobility and Security. 2011: 1-5.
  • 2BHAGWAT P. Bluetooth: technology for short-range wireless Apps [J]. IEEE Internet Computing, 2001, 5(3): 96-103.
  • 3BIEBER G, VOSKAMPAND J, URBAN B. Activity recognition for everyday life on mobile phones [J]. Lecture Notes in Computer Science, 2009, 5615: 289- 296.
  • 4Bluetooth Special Interest Group. Bluetooth Specification Version 4.0 [EB/OL]. [2012-04-28]. https://www.bluetooth.org.
  • 5ANASTASI G, BANDELLONI R, CONTI M, et al.Experi- menting an indoor Bluetooth-based positioning service [C]// Proceedings of the 23rd International Conference on Distributed Computing Systems Workshops. 2003: 480-483.
  • 6CHAWATHE S S. Beacon placement for indoor localization using Bluetooth [C]//11th Inter- national IEEE Conference on Intelligent Transpor- tation Systems. 2008: 980-985.
  • 7RODAS J, ESCUDERO C J, IGLESIA D I. Bayesian filtering for a Bluetooth positioning system [C]// IEEE International Symposium on Wireless Commu- nication Systems. 2008: 618-622.
  • 8DIAZ J J M, DE MAUES R A, SOARES R B, et al. BluePass: an indoor Bluetooth-based localization system for mobile applications [C]//2010 IEEE Symposium on Computers and Communications. 2010: 778-783.
  • 9SUBHAN F, HASBULLAH H, ROZYYEV A, et al. In- door positioning in Bluetooth networks using finger- printing and lateration approach [C]//2011 Interna- tional Conference on Information Science and Appli- cations. 2011: 1-9.
  • 10KING T, LEMELSON H, FARBER A, et al. BluePos: positioning with Bluetooth [C]// Proceedings of IEEE International Symposium on Intelligent Signal Processing. 2009: 55-60.

二级参考文献10

  • 1韩屏,李方敏,吴学红.一种基于无线传感网络的实用性地下坑道定位方法[J].传感技术学报,2007,20(10):2313-2318. 被引量:8
  • 2陈维克,李文锋,首珩,袁兵.基于RSSI的无线传感器网络加权质心定位算法[J].武汉理工大学学报(交通科学与工程版),2006,30(2):265-268. 被引量:206
  • 3Capkun S, Hamdi M and Hubaux J P. GPS-Free Positioning in Mobile Ad-Hoc Networks[C]// Proceedings of the 34th Annual Hawaii International Conference on System Science. Haiwaii, USA:IEEE Computing society, 2001. 3481-3490.
  • 4Sukhyun Y, Jaehun L, Wooyong C, Euntai K. Centroid Localization Method in Wireless Sensor Networks using TSK Fuzzy Modeling[C].//Proceedings of 8th International Symposium on Advanced Intelligent Systems (ISIS2007). Sokcho- City, Korea, 2007:971-974.
  • 5Bahl P, Padmanabhan V N. RADAR: An in-Building RF- based user Location and Tracking System [C]. // Proceedings of the IEEE INFOCOM 2000. Tel Aviv: IEEE Computer and Communications Societies, 2000. 775-784.
  • 6Hightower J, Want R, Borriello G. SpotON: an Indoor 3D Location Sensing Technology based on RF Signal Strength [D]. Seattle: University of Washington, 2000.
  • 7Alippi C, Vanini G. Wireless Sensor Networks and Radio Localization: a Metrological Analysis of the MICA2 Received Sig- nal Strength Indicator [C]. // Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks (LCN'04), Italy, 2004:16-18.
  • 8Pahlavan K, Levesque A. Wireless Information Networks [M]. NewYork: John Wiley&Sons, Ine, 1995.
  • 9杨凤,史浩山,朱灵波,赵洪钢.一种基于测距的无线传感器网络智能定位算法[J].传感技术学报,2008,21(1):135-140. 被引量:40
  • 10任维政,徐连明,邓中亮,王川.基于RSSI的测距差分修正定位算法[J].传感技术学报,2008,21(7):1247-1250. 被引量:64

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