An Indoor Positioning Algorithm Based on Fingerprint and Mobility Prediction in RSS Fluctuation-Prone WLANs

Chun Han Lin, Lyu Han Chen, Hsiao Kuang Wu, Ming Hui Jin, Gen Huey Chen, Jose Luis Garcia Gomez, Cheng Fu Chou

研究成果: 雜誌貢獻期刊論文同行評審

2 引文 斯高帕斯(Scopus)

摘要

The creation of context-Aware services in pervasive computing environments has driven the wide development of wireless local area network (WLAN)-based indoor positioning systems. One of the main challenges in WLAN-based indoor positioning is the severe fluctuation of received signal strength (RSS), which may cause the RSS patterns to be mismatched and the positioning to be inaccurate. In this paper, an indoor positioning algorithm that combines the fingerprint scheme with mobility prediction is proposed. Since the mobility prediction is performed according to the moving speed and direction of the mobile client, the resulting location estimation is more stable compared to the use of RSS alone. Experimental results show that the proposed positioning algorithm can mitigate the impact of the RSS fluctuation and has better positioning accuracy and stability than previous fingerprint-based approaches.

原文???core.languages.en_GB???
文章編號8732597
頁(從 - 到)2926-2936
頁數11
期刊IEEE Transactions on Systems, Man, and Cybernetics: Systems
51
發行號5
DOIs
出版狀態已出版 - 5月 2021

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