Abstract
This paper presents the state-of-the-art of the leading indoor positioning technologies and systems. The positioning technology is classified into the active positioning system and the passive positioning system, which are presented respectively in detail, including wireless local area network, radio frequency identification, Bluetooth, inertial navigation, and magnetic field positioning. Additionally, the advantages and disadvantages of various indoor positioning technologies and systems are analyzed, as well as the positioning accuracy, applicability, and working principle. Particularly, in order to better understand them, the key performance parameters of the mentioned technologies and systems are finally compared using a table.
This work was supported by the Science and Technology Commission of Shanghai Municipality under “Yangfan Program” (14YF1408600), the Shanghai Municipal Commission of Economy and Informatization under Shanghai Industry-University-Research Collaboration Grant (CXY-2013-71).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Deng, Z.L., Yu, Y.P., Yuan, X., Wan, N., Yang, L.: Situation and Development Tendency of Indoor Positioning. China Communications, 42–55 (2013)
Gu, Y.Y., Lo, A.: A Survey of Indoor Positioning Systems for Wireless Personal Networks. IEEE Communications Surveys and Tutorials 11, 13–32 (2009)
Hua, T.Y., Hong, N.L., Gu, M.: Recent research and Applications of GPS-based Monitoring Technology for High-rise Structures. Structural Control and Health Monitoring 20, 649–670 (2012)
Deak, G., Curran, K., Condell, J.: A Survey of Active and Passive Indoor localization systems. Computer Communications 35, 1939–1954 (2012)
Cruz, C.C., Costa, J.R., Ferandes, C.A.: Hybrid UHF/UWB Antenna for Passive Indoor Identification and Localization Systems. IEEE Transactions on Antennas and Propagation 61, 354–361 (2013)
Meng, W.X., He, Y., Deng, Z., Li, C.: Optimized Access Points Deployment fot WLAN Indoor Positioning System. In: IEEE Wireless communications and Networking Conference, pp. 2457–2461 (2012)
Saab, S.S., Nakad, Z.S.: A Standalone RFID Indoor Positioning System Using Passive Tags. IEEE Transactions on Industrial Electronics 58(5), 1961–1970 (2011)
Park, S.H., Hashimoto, S.J.: Autonomous Mobile Robot Navigation Using Passive RFID in Indoor Environment. IEEE Transactions on Industrial Electronics 56, 2366–2373 (2009)
Xiao, W.D., Ni, W., Yue, K.T.: Integrated Wi-Fi Fingerprinting and Inertial Sensing for Indoor Positioning. In: Indoor Positioning and Indoor Navigation (IPIN), pp. 1–6 (2011)
Geng, Y.H., He, J., Deng, H.K., Pahlavan, K.: Modeling the Effect of Human Body on TOA Ranging for Indoor Human Tracking with Wrist Mounted Sensor. In: Wireless Personal Multimedia Communications, pp. 1–6 (2013)
Shen, J.Y., Molish, A.F., Salmi, J.: Accurate Passive Location Estimation Using TOA Measurements. IEEE Transactions on Wireless Communications 11, 2182–2192 (2012)
Ho, K.C.: Bias Reduction for an Explicit Solution of Source Localization Using TDOA. IEEE Transactions on Signal Processing 60, 2101–2114 (2012)
Huang, X.J., Guo, Y.J.: Frequency-Domain AoA Estimation and Beamforming with Wideband Hybrid Arrays. IEEE Transactions on Wireless Communications 10, 2543–2553 (2011)
Luo, Y.J., Law, C.L.: Indoor Positioning Using UWB-IR Signals in the Presence of Dense Multipath with Path Overlapping. IEEE Transactions on Wireless Communications 11, 3734–3743 (2012)
Blumrosen, G., Hod, B., Anker, T., Dolev, D., Rubinsky, B.: Enhancing RSSI-Based Tracking Accuracy in Wireless Sensor Networks. ACM Transactions on Sensor Networks 9, article 29 (2013)
Daiya, V., Ebenezer, J., Murty, S.A.V.S., Raj, B.: Experimental Analysis of RSSI for Distance and Position Estimation. In: IEEE International Conference on Recent Trends in Information Technology, pp. 1093–1098 (2011)
Kanaan, M., Pahlavan, K.: A Comparison of Wireless Geolocation Algorithms in the Indoor Environment. In: IEEE Wireless Communications and Networking Conference, vol. 1, pp. 177–182 (2004)
Fang, B.: Simple Solution for Hyperbolic and Related Position Fixes. IEEE Transactions on Aerospace and Electronic Systems 26, 748–753 (1990)
Torrieri, D.: Statistical Theory of Passive Location Systems. IEEE Transactions on Aerospace and Electronic Systems 20, 183–197 (1984)
Rose, R., Zorn, S., Goetz, A., Fischer, G., Weigel, R.: A New Technique to Improve AoA using Dual Polarization. In: European Microwave Conference, pp. 420–423 (2011)
Wang, G., Chen, H.Y.: An Importance Sampling Method for TDOA-Based Source Localization. IEEE Transactions on Wireless Communications 10, 1560–1568 (2011)
Sharp, I., Yu, K., Hedley, M.: On the GDOP and Accuracy for Indoor Positioning. IEEE Transactions on Aerospace and Electronic Systems 48, 2032–2051 (2012)
Meng, W.X., He, Y., Deng, Z., Li, C.: Optimized Access Points Deployment fot WLAN Indoor Positioning System. In: IEEE Wireless communications and Networking Conference, pp. 2457–2461 (2012)
Feng, C., Au, W.S., Valaee, S., Tan, Z.H.: Received-Signal-Strength-Based Indoor Positioning Using Compressive Sensing. IEEE Transactions on Mobile Computing 11, 1983–1993 (2012)
Ni, L.M., Zhang, D.: RFID-BASED Localization and Tracking Technologies. IEEE Wireless Communications (2011)
Uchitomi, N., Inada, A., Fujimoto, M., Wada, T., Mutsuura, K., Okada, H.: Accurate Indoor Position Estimation by Swift-Communication Range Recognition (S-CRR) Method in Passive RFID systems. In: International Conference on Indoor Positioning and Indoor Navigation, IPIN (2010)
ZONITH: http://www.zonith.com/products/ips/ (last accessed 21, 2011)
Ren, H.L., Kazanzides, P.: Investigation of Attitude Tracking Using an Integrated Inertial and Magnetic Navigation System for Hand-Held Surgical Instruments. IEEE/ASME Transactions on Mechatronics 17, 210–217 (2012)
Bird, J., Dale, A.: Indoor Navigation with Foot-Mounted Strapdown Inertial Navigation and Magnetic Sensors. IEEE Wireless Communications, 28–34 (2011)
Finland Team uses Earth’s Magnetic Field for Phone Indoor Positioning System, http://phys.org/news/2012-07-finland-team-earth-magnetic-field.html
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhu, L., Yang, A., Wu, D., Liu, L. (2014). Survey of Indoor Positioning Technologies and Systems. In: Ma, S., Jia, L., Li, X., Wang, L., Zhou, H., Sun, X. (eds) Life System Modeling and Simulation. ICSEE LSMS 2014 2014. Communications in Computer and Information Science, vol 461. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45283-7_41
Download citation
DOI: https://doi.org/10.1007/978-3-662-45283-7_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45282-0
Online ISBN: 978-3-662-45283-7
eBook Packages: Computer ScienceComputer Science (R0)