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A Survey on Indoor Positioning Technologies

  • Conference paper
Theoretical and Mathematical Foundations of Computer Science (ICTMF 2011)

Abstract

Location-aware service is one of the most important parts of the internet of things. And how to obtain the location information is the key point of location-aware service. This paper investigates some key technologies and algorithms of indoor positioning and analyzes their advantages and disadvantages in the terms of the positioning range, accuracy and cost. Finally some issues need to be resolved in future are discussed.

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References

  1. Hightower, J., Borriello, G.: Location Systems for Ubiquitous Computing. IEEE Computer Mag. 34(8), 57–66 (2001)

    Article  Google Scholar 

  2. Mingfeng, L., Baohong, F., Sanzhi, L.: GPS positioning technology and application. National Defence Industry Press, Beijing (2006)

    Google Scholar 

  3. Enge, P., Misra, P.: Special issue on GPS: The Global Positioning System. Proceedings of the IEEE 87(1), 3–15 (1999)

    Article  Google Scholar 

  4. Kaplan, E., Hegarty, C.: Understanding GPS: Principles and Applications. Artech House, Boston (2005)

    Google Scholar 

  5. Pingzhi, F., Ping, D., Lin, L.: Cellular wireless location. Electronic Industry Press, Beijing (2002)

    Google Scholar 

  6. FCC Docket No. 94-102: Revision of the Commission Rules to Insure Compatibility with Enhanced 911 Emergency Calling Systems. Federal Communications Commission Tech. Rep. RM–8143 (1996)

    Google Scholar 

  7. Zagami, J.M., Parl, S.A., Bussgang, J.J.: Providing Universal Location Services Using a Wireless E911 Location Network. IEEE Communications Magazine 36(4), 66–71 (1998)

    Article  Google Scholar 

  8. FCC, Wireless 911 Services, http://www.fcc.gov/cgb/consumerfacts/wireless911srvc.html

  9. The Definitive Wireless E-911 Reference Guide 2005. Mind Commerce (2005)

    Google Scholar 

  10. Want, R., Hopper, A., Falcao, V.: The Active Badge Location System. ACM Transactions on Office Information Systems (TOIS) 10(1), 91–102 (2003)

    Article  Google Scholar 

  11. Ward, A., Jones, A., Hopper, A.: New Location Technique for the Active Office. IEEE Personal Communications 4(5), 42–47 (2004)

    Article  Google Scholar 

  12. Microsoft Research. Easy living, http://www.research.microsoft.com/easyliving

  13. Hyunggi, C., Myungseok, K., Jonghyuk, P., Byungsung, P., Hagbae, K.: Performance Analysis of Location estimation algorithm in ZigBee networks using received signal strength. In: 21st International Conference on Advanced Information Networking and Applications Workshops/Symposia, AINAW 2007, Niagara Falls, pp. 302–306 (2007)

    Google Scholar 

  14. Ni, L.M., Liu, Y.H., Lau, Y.C.: LANDMARC: Indoor Location Sensing Using Active RFID. Wireless Networks 10(6), 701–710 (2004)

    Article  Google Scholar 

  15. Jin, G.Y., Lu, Y., Park, M.: An Indoor Localization Mechanism Using Active RFID Tag. In: Proceedings of the IEEE International Conference on Sensor Networks, Ubiquitousand Trustworthy Computing, Taichung, pp. 4–8 (2006)

    Google Scholar 

  16. Steggles, P., Cadman, J.: A Comparison of RF Tag Location Products for Real World Applications. Technical report, Ubisense Limited (2004)

    Google Scholar 

  17. Gezici, S., Tian, Z., Giannakis, G.B.: Localization Via Ultra Wideband Radios: A look at positioning aspects of future sensor networks. IEEE Signal Processing Magazine 22(4), 70–84 (2005)

    Article  Google Scholar 

  18. Angela, H., Ruben, B., Juan, C., Ignacio, A., Antonio, V.: Accurate Indoor Wireless Location With IR UWB Systems: A Performance Evaluation of Joint Receiver Structures and TOA Based Mechanism. IEEE Transactions on Consumer Electronics 54(2), 381–389 (2008)

    Article  Google Scholar 

  19. Chinder, W., Chihsheng, H.: NLOS Mitigation With Biased Kalman Filters for Range Estimation in UWB Systems. TENCON 2007 IEEE Region 10 Conference, October 30-November 2, pp. 1–4, Taipei (2007)

    Google Scholar 

  20. Shaohua, W., Qinyu, Z., Naitong, Z.: NLOS error reduction methods in UWB dense multipath environment. Chinese of Journal Electronics 36(1), 39–45 (2008)

    Google Scholar 

  21. Azadeh, K., Konstantinos, N., Anastasios, N.: Venetsanopoulos. Intelligent Dynamic Radio Tracking in Indoor Wireless Local Area Networks. IEEE Transaction On Mobile Computing 9(3), 405–419 (2010)

    Article  Google Scholar 

  22. Hamid, M., Nitin, K.T., Taravudh, T.: Indoor Positioning System Using Artificial Neural Network. Journal of Computer Science 6(10), 1219–1225 (2010)

    Article  Google Scholar 

  23. Yinsen, F., Taichi, W., Shihyu, C., Hsipin, M.: Location Estimation in Indoor Wireless Networks by Hierarchical Support Vector Machines with Fast Learning Algorithm. In: International Conference on System Science and Engineering, Taipei, pp. 321–326 (2010)

    Google Scholar 

  24. Jaegeol, Y., Seunghwan, J., Kiyoung, G., Jaehun, J.: Improvement of Kalman filters for WLAN Based Indoor Tracking. Expert Systems with Applications 37, 426–433 (2010)

    Article  Google Scholar 

  25. Youssef, M., Agrawala, A.: Handling Samples Correlation in The Hours System. IEEE Infocom (2004)

    Google Scholar 

  26. Zhao, F., Yao, W., Logothetis, C.C.: Comparison of Super-resolution Algorithms for TOA Estimation in Indoor IEEE 802.11 Wireless LANs. In: Proceedings of the International Conference on Wireless Communications, Networking and Mobile Computing, Wuhan, pp. 1–5 (2008)

    Google Scholar 

  27. Tao, H., Xiaochun, L., Qi, L.: Pattern Recognition Based Kalman Filter for Indoor Localization Using TDOA Algorithm. Applied Mathematical Modelling 34, 2893–2900 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  28. Roshanei, M., Maleki, M.: Dynamic-KNN: A Novel Locating Method in WLAN Based on Angle of Arrival. In: IEEE Symposium on Industrial Electronics and Applications (ISIEA), Kuala Lumpur, Malaysia (2009)

    Google Scholar 

  29. Fengyan, X., Liangbin, L., Zongxin, W.: A new regional division based on the distance of a loss model indoor WLAN positioning system. Journal of Electronics & Information Technology, 1405–1408 (2008)

    Google Scholar 

  30. Anvar, N., Yongwan, P., Kookyeol, Y., Jaehwang, Y.: A Fast and Accurate Calibration Algorithm For Real-Time Locating Systems Based on the Received Signal Strength Indication. International Journal of Electronics and Communications 64(11), 999–1104 (2010)

    Article  Google Scholar 

  31. Honkavirta, V., Perala, T., Ali-Loytty, S., Piche, R.: A Comparative Survey of WLAN Location Fingerprinting Methods. In: Proceeding of The 6th Workshop On Positioning, Navigation and Communication, Hannover, pp. 243–251 (2009)

    Google Scholar 

  32. Kuofong, K., IEn, L., Jiasiang, L.: An Indoor Location-Based Service Using Access Points as Signal Strength Data Collectors. In: International Conference on Indoor Positioning and Indoor Navigation (IPIN), Zurich, pp. 1–6 (2010)

    Google Scholar 

  33. Chan, E.C., Baciu, G., Mak, S.C.: Effect of Channel Interference on Indoor Wireless Local Area Network Positioning. In: Wireless and Mobile Computing, Networking and Communications (WiMob), Niagara, pp. 239–245 (2010)

    Google Scholar 

  34. Shihhau, F., Tsungnan, L.: A Dynamic System Approach for Radio Location Fingerprinting in Wireless Local Area Networks. IEEE Transaction on Communications 58(4), 1020–1026 (2010)

    Article  Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Song, Z., Jiang, G., Huang, C. (2011). A Survey on Indoor Positioning Technologies. In: Zhou, Q. (eds) Theoretical and Mathematical Foundations of Computer Science. ICTMF 2011. Communications in Computer and Information Science, vol 164. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24999-0_28

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  • DOI: https://doi.org/10.1007/978-3-642-24999-0_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24998-3

  • Online ISBN: 978-3-642-24999-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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