Abstract
The accuracy of traditional triangulation localization algorithm based on RSSI couldn’t satisfy the indoor navigation applications. This chapter shows a new method added in linear fitting and least square adjustment to solve this problem. In order to achieve better positioning results, we compute the parameters for LDPL model by the linear fitting method and import least square adjustment to the traditional triangulation centroid algorithm. At last, some experiments were carried out in Tongji University using TP-LINK Wi-Fi routers and an Android cellphone. The results show that the proposed method does improve the accuracy about 30 % than the old one, and the Wi-Fi positioning system could be used both in laptop and cellphone applications.
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References
Fu Q, Retscher G (2009) Using RFID and INS for indoor positioning location based services and telecartography II. Springer, Heidelberg, pp 421–438. Reprinted
Khalil K, Mizuno H, Sasaki K, Hosaka H, Maret P (2008). Bluetooth indoor positioning and ambient information system developing ambient intelligence. Springer, Heidelberg, pp 133–142. Reprinted
Lin W, Chen C (2009) RSSI-based triangle and centroid location in wireless sensor network [J]. Mod Electron Tech 2:180–183
Medina AV, Gómez JA, Ribeiro JA, Dorronzoro E (2013) Indoor position system based on a zigbee network evaluating AAL systems through competitive benchmarking. Springer, Heidelberg, pp 6–16. Reprinted
Osa V, Matamales J, Monserrat JF, López J (2013) Localization in wireless networks: the potential of triangulation techniques. Wireless Pers Commun 68(4):1525–1538
Rappaport TS (1996) Wireless communications: principles and practice, vol 2. Prentice Hall PTR, New Jersey
Sanchez A, de Castro A, Elvira S, Glez-de-Rivera G, Garrido J (2012) Autonomous indoor ultrasonic positioning system based on a low-cost conditioning circuit. Measurement 45(3):276–283
Wan X, Zhan X (2011) The research of indoor navigation system using pseudolites. Procedia Eng 15:1446–1450
Xiao Z, Bai J, Ma G, Fan J, Yi K (2012) Research on positioning enhancement scheme of CAPS via UWB pseudolite. Sci China Phys, Mech Astron 55(4):733–737
Zhang N, Feng J (2012) Polaris: a fingerprint-based localization system over wireless networks web-age information management. Springer, Heidelberg, pp 58–70. Reprinted
Acknowledgement
This work is supported by The National High Technology Research and Development Program of China (No.2013AA12A206) and The National Students Innovation Training Program. The authors greatly appreciate the help of Ms. Beibei YU.
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Geng, Y., Zhang, S., Wu, H., Hu, C. (2014). Improved Indoor Positioning System Based on Wi-Fi RSSI: Design and Deployment. In: Liu, C. (eds) Principle and Application Progress in Location-Based Services. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-04028-8_3
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DOI: https://doi.org/10.1007/978-3-319-04028-8_3
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