A novel RSS-based indoor positioning algorithm using mobility prediction

Lyu Han Chen, Gen Huey Chen, Ming Hui Jin, Eric Hsiao Kuang Wu

研究成果: 書貢獻/報告類型會議論文篇章同行評審

4 引文 斯高帕斯(Scopus)

摘要

Severe received signal strength (RSS) fluctuation is one of the crucial problems in an indoor positioning system using fingerprint-based algorithms. Even at a fixed location, the RSSs received by a mobile device at different time have large discrepancy. Adopting these fluctuated signals for positioning may lead to inaccurate results. To mitigate this problem, in this paper, any of the existing fingerprint-based indoor positioning algorithms can be integrated into our positioning system to estimate the location of mobile device. Then, a mobility prediction algorithm using the model of Brownian motion is presented for further calculating the rationality of the estimated location and correcting the inaccurate results. To be realistic, some experiments in a real WLAN environment with a multitude of people moving in a testing area demonstrate the noticeably better accuracy of this approach. The solution can ensure low and stable positioning error. Besides, the region where training records are out of date can also be found out.

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主出版物標題Proceedings - 2010 39th International Conference on Parallel Processing Workshops, ICPPW 2010
頁面549-553
頁數5
DOIs
出版狀態已出版 - 2010
事件2010 39th International Conference on Parallel Processing Workshops, ICPPW 2010 - San Diego, CA, United States
持續時間: 13 9月 201016 9月 2010

出版系列

名字Proceedings of the International Conference on Parallel Processing Workshops
ISSN(列印)1530-2016

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???event.eventtypes.event.conference???2010 39th International Conference on Parallel Processing Workshops, ICPPW 2010
國家/地區United States
城市San Diego, CA
期間13/09/1016/09/10

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