Full-Text Search:
Home|About CNKI|User Service|中文
Add to Favorite Get Latest Update

Indoor Map Information Based WiFi Positioning Technology for Multi-Floor Buildings

LI Hai-tao;QI Shuang;College of Electronic Information and Control Engineering,Beijing University of Technology Chaoyang;  
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.
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©CNKI All Rights Reserved