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
Hightower, J., Borriello, G.: Location Systems for Ubiquitous Computing. IEEE Computer Mag. 34(8), 57–66 (2001)
Mingfeng, L., Baohong, F., Sanzhi, L.: GPS positioning technology and application. National Defence Industry Press, Beijing (2006)
Enge, P., Misra, P.: Special issue on GPS: The Global Positioning System. Proceedings of the IEEE 87(1), 3–15 (1999)
Kaplan, E., Hegarty, C.: Understanding GPS: Principles and Applications. Artech House, Boston (2005)
Pingzhi, F., Ping, D., Lin, L.: Cellular wireless location. Electronic Industry Press, Beijing (2002)
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)
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)
FCC, Wireless 911 Services, http://www.fcc.gov/cgb/consumerfacts/wireless911srvc.html
The Definitive Wireless E-911 Reference Guide 2005. Mind Commerce (2005)
Want, R., Hopper, A., Falcao, V.: The Active Badge Location System. ACM Transactions on Office Information Systems (TOIS) 10(1), 91–102 (2003)
Ward, A., Jones, A., Hopper, A.: New Location Technique for the Active Office. IEEE Personal Communications 4(5), 42–47 (2004)
Microsoft Research. Easy living, http://www.research.microsoft.com/easyliving
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)
Ni, L.M., Liu, Y.H., Lau, Y.C.: LANDMARC: Indoor Location Sensing Using Active RFID. Wireless Networks 10(6), 701–710 (2004)
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)
Steggles, P., Cadman, J.: A Comparison of RF Tag Location Products for Real World Applications. Technical report, Ubisense Limited (2004)
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)
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)
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)
Shaohua, W., Qinyu, Z., Naitong, Z.: NLOS error reduction methods in UWB dense multipath environment. Chinese of Journal Electronics 36(1), 39–45 (2008)
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)
Hamid, M., Nitin, K.T., Taravudh, T.: Indoor Positioning System Using Artificial Neural Network. Journal of Computer Science 6(10), 1219–1225 (2010)
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)
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)
Youssef, M., Agrawala, A.: Handling Samples Correlation in The Hours System. IEEE Infocom (2004)
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)
Tao, H., Xiaochun, L., Qi, L.: Pattern Recognition Based Kalman Filter for Indoor Localization Using TDOA Algorithm. Applied Mathematical Modelling 34, 2893–2900 (2010)
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)
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)
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)
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)
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)
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)
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)
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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
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