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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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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