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Abstract:
In order to implement multi-floor buildings accurate location, the map information based indoor position scheme is proposed in this paper. Firstly, the map information model and affinity propagation method for fingerprints clustering are explored in offline phase. Then, the received signal strength indication (RSSI) threshold based floor identification method is put forward. Finally, the terminal positions are obtained by using the map information model and maximum posteriori position estimation method. Experimental results show that the proposed indoor position scheme can effectively enhance the location estimation accuracy and reduce the computation complexity for multi-floor buildings. © 2017, Editorial Board of Journal of the University of Electronic Science and Technology of China. All right reserved.
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Journal of the University of Electronic Science and Technology of China
ISSN: 1001-0548
Year: 2017
Issue: 1
Volume: 46
Page: 32-37
Cited Count:
SCOPUS Cited Count: 6
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 5
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