Abstract
Bluetooth Low Energy(BLE) is becoming the most preferred technology for indoor positioning solutions as it provides a low cost, reasonably accurate, and zero infrastructure solution, and is supported by most mobile devices as well. BLE can maintain relatively stable signal strength and has a higher sample rate, which is important for accurate distance determination. On the other hand, RSSI values are not always accurate due to fluctuating signal strength for many reasons, so a designated process and algorithm are used to determine the actual location of the mobile device. In this paper, we propose a BLE plate and Pedestrian Dead Reckoning (PDR) combined algorithm that provides a wide range of accuracy and can be applied to indoor positioning for large scale space. The system tested in this study kept positioning errors to within 2.2 m in real environment, and is applicable as an indoor navigation system for very large spaces such as airports and arenas.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chai, S., An, R., Du, Z.: And indoor algorithm using bluetooth low energy RSSI. AMSEE (2016)
Fang, L., Antsaklis, P.J., Montestruque, L.A., Brett McMickell, M., Lemmon, M., Sun, Y., Fang, H., Koutroulis, I., Haenggi, M., Xie, M., Xie, X.: Design of a wireless assisted pedestrian dead reckoning system—the navmote experience. IEEE Trans. Instrum. Measurement 54(6) (2005)
Heinecke, T., Wolfe, M.: The Role of bluetooth low energy for indoor positioning application. In: Computer Science Department, Montana State University, Bozeman, MT USA
Huh, J., Lee, C., Kim, J.: A study of beacon delivery characteristics in BLE based fingerprinting indoor positioning system. Proc. KIISE 2015(6), 1612–1614 (2015)
Kaemarungsi, K., Krushnamurthy, P: Modeling of indoor positioning system based on location fingerprinting, pp. 1012–1022. IEEE (2004). Telecommunication Program, School of Information Science, Unversity of Pittsburgh, Pennsylvania
Li, X., Wang, J., Lui, C: A Bluetooth/PDR integration algorithm for an indoor positioning system. Sensors (Basel), 15(10) (2015)
Mautz, R.: Indoor positioning technologies institute of geodesy and photogrammetry, department of civil, environment and Geomatic engineering, ETH Zurih (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Kang, HY., Lee, Jn., Kang, Y., Kim, JB., Park, HW., Bae, MJ. (2019). Bluetooth Low Energy Plate and PDR Hybrid for Indoor Navigation. In: Lee, R. (eds) Big Data, Cloud Computing, Data Science & Engineering. BCD 2018. Studies in Computational Intelligence, vol 786. Springer, Cham. https://doi.org/10.1007/978-3-319-96803-2_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-96803-2_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-96802-5
Online ISBN: 978-3-319-96803-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)