Translated Title
Indoor Map Information Based WiFi Positioning Technology for Multi-Floor Buildings
Translated 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.
Translated Keyword
fingerprinting
affinity propagation clustering
map information
floor-identification
indoor position
Access Number
WF:perioarticaldzkjdxxb201701006
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