Indoor positioning: technology comparison analysis

  • Authors

    • Marina Md Din
    • Norziana Jamil
    • Jacentha Maniam
    • Mohamad Afendee Mohamed
    2018-04-06
    https://doi.org/10.14419/ijet.v7i2.14.12813
  • Indoor Positioning System, Indoor Positioning Technologies, Technical Perspectives, Signals
  • A system that allows users to find and track a specific position is known as positioning system. Global Positioning System (GPS) is one of top known position tracking system that commonly used to find position and location of object outdoor. Tracking an object indoor using GPS is not highly recommended because the signals transmitted through a satellite to a device indoor gets blocked and resulted in weak signals. Thus, an indoor positioning system (IPS) that tracks and positions object indoor has been implemented to overcome the issues of signals multipath that resulted from GPS. The aim of this paper is to provide up to date indoor positioning technologies and compares the technologies according to its technical perspectives.

     

     

  • References

    1. [1] Liu J (2014), Survey of wireless based indoor localization technologies. http://www.cse.wustl.edu/~jain/cse574-14/ftp/indoor.pdf

      [2] Hightower J & Borriello G (2001), Location systems for ubiquitous computing. Computer 34, 57–66.

      [3] Liu H, Darabi H, Banerjee P & Liu J (2007), Survey of wireless indoor positioning techniques and systems. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 37, 1067–1080.

      [4] Seco F, Jiménez AR, Prieto C, Roa J & Koutsou K (2009), A survey of mathematical methods for indoor localization. Proceedings of the IEEE International Symposium on Intelligent Signal Processing, pp. 9–14.

      [5] Mautz R (2009), Overview of current indoor positioning systems. Geodezija ir kartografija 35, 18–22.

      [6] Abdat M, Wan TC & Supramaniam S (2010), Survey on indoor wireless positioning techniques: Towards adaptive systems. Proceedings of the IEEE International Conference on Distributed Framework and Applications, pp. 1–5.

      [7] Seco-Granados G, Lopez-Salcedo J, Jimenez-Banos D & Lopez-Risueno G (2012), Challenges in indoor global navigation satellite systems: Unveiling its core features in signal processing. IEEE Signal Processing Magazine 29, 108–131.

      [8] Al-Ammar MA, Alhadhrami S, Al-Salman A, Alarifi A, Al-Khalifa HS, Alnafessah A & Alsaleh M (2014), Comparative survey of indoor positioning technologies, techniques, and algorithms. Proceedings of the IEEE International Conference on Cyberworlds, pp. 245–252.

      [9] Mainetti L, Patrono L & Sergi I (2014), a survey on indoor positioning systems. Proceedings of the IEEE 22nd International Conference on Software, Telecommunications and Computer Networks, pp. 111–120.

      [10] Lin TN & Lin PC (2005), Performance comparison of indoor positioning techniques based on location fingerprinting in wireless networks. Proceedings of the IEEE International Conference on Wireless Networks, Communications and Mobile Computing, pp. 1569–1574.

      [11] Barnes J, Rizos C, Wang J, Small D, Voigt G & Gambale N (2003), Locata: A new positioning technology for high precision indoor and outdoor positioning. Proceedings of the International Symposium on GPSGNSS, pp. 9–18.

      [12] Randell C & Muller H (2001), Low cost indoor positioning system. Proceedings of the International Conference on Ubiquitous Computing, pp. 42–48.

      [13] Amundson I & Koutsoukos XD (2009), a survey on localization for mobile wireless sensor networks. In R. Fuller & X.D. Koutsoukos (Eds.), Mobile Entity Localization and Tracking in GPS-Less Environments. Berlin: Springer, pp. 235–254.

      [14] Yang SH, Jeong EM, Kim DR, Kim HS, Son YH & Han SK (2013), Indoor three-dimensional location estimation based on LED visible light communication. Electronics Letters 49, 54–56.

      [15] Zhang D, Xia F, Yang Z, Yao L & Zhao W (2010), Localization technologies for indoor human tracking. Proceedings of the IEEE 5th International Conference on Future Information Technology, pp. 1–6.

      [16] Hazas M & Hopper A (2006), Broadband ultrasonic location systems for improved indoor positioning. IEEE Transactions on mobile Computing 5, 536–547.

      [17] Giaglis GM, Pateli A, Fouskas K, Kourouthanassis P & Tsamakos A (2002), On the potential use of mobile positioning technologies in indoor environments. Proceedings of the 15th Bled Electronic Commerce Conference-e-Reality: Constructing the e-Economy, pp. 17–19.

      [18] Rizos C, Dempster AG, Li B & Salter J (2006), Indoor-positioning techniques based on wireless LAN. https://opus.lib.uts.edu.au/bitstream/10453/19580/1/113_Li.pdf.

      [19] Ibrahim M & Youssef M (2010), CellSense: A probabilistic RSSI-based GSM positioning system. Proceedings of the IEEE Global Telecommunications Conference, pp. 1–5.

      [20] Pei L, Chen R, Liu J, Kuusniemi H, Tenhunen T & Chen Y (2010), Using inquiry-based Bluetooth RSSI probability distributions for indoor positioning. Journal of Global Positioning Systems 9, 122–130.

      [21] Bekkali A, Sanson H & Matsumoto M (2007), RFID indoor positioning based on probabilistic RFID map and Kalman filtering. Proceedings of the third IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, pp. 1–7.

      [22] Tesoriero R, Gallud J, Lozano M & Penichet V (2008), Using active and passive RFID technology to support indoor location-aware systems. IEEE Transactions on Consumer Electronics 54, 578–583.

      [23] Saab SS & Nakad ZS (2011), a standalone RFID indoor positioning system using passive tags. IEEE Transactions on Industrial Electronics 58, 1961–1970.

      [24] Yan B & Xiaochun L (2009), Research on UWB indoor positioning based on TDOA technique. Proceedings of the IEEE 9th International Conference on Electronic Measurement and Instruments, pp. 1–167.

      [25] Disha A (2013), a comparative analysis on indoor positioning techniques and systems. International Journal of Engineering Research and Applications 3, 1790–1796.

  • Downloads

  • How to Cite

    Md Din, M., Jamil, N., Maniam, J., & Afendee Mohamed, M. (2018). Indoor positioning: technology comparison analysis. International Journal of Engineering & Technology, 7(2.14), 133-137. https://doi.org/10.14419/ijet.v7i2.14.12813