Abstract
The position fingerprint matching methods are analyzed, this paper improves the insufficient. In the database establishment phase, an AP selection algorithm based on stability is proposed, the Gaussian filtering method is applied to the processing of WLAN signal, Thus, a more stable signal strength characteristic value is extracted. In the matching phase, an AP selection algorithm based on MAC address is presented, narrow the range of matches, combine with KNN algorithm to Fingerprint matching, to increase the speed of the match. By verify through actual data, the paper analyzes the results of the improved off-line phase, effectively improve the quality of fingerprint database and reduce the burden of database. It not only narrow the matching range, but also improve the accuracy of the localization algorithm. The 3D model is built by 3D Max which is a virtual simulation system for user interaction, Virtual reality technology is applied to indoor positioning to complete the establishment of map. The coordinate transformation algorithm is established, and the position fingerprint matching method is used to present the positioning technology to virtual reality to realize the indoor positioning human-computer interaction based on WLAN.
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Acknowledgements
The project was funded by Guangxi Key Laboratory of Spatial Information and Geomatics (15-140-07-14, 16-380-25-17) and the ‘Ba Gui Scholars’ program of the provincial government of Guangxi.
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Lu, Y. et al. (2019). An Improved Method and Implementation of Indoor Position Fingerprint Matching Localization Based on WLAN. In: Tang, Y., Zu, Q., Rodríguez García, J. (eds) Human Centered Computing. HCC 2018. Lecture Notes in Computer Science(), vol 11354. Springer, Cham. https://doi.org/10.1007/978-3-030-15127-0_63
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DOI: https://doi.org/10.1007/978-3-030-15127-0_63
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