Fast WiFi-Based Indoor Positioning for Multi-Floor Environment

• Main Authors: Yu-Non Yang, 楊宇儂
• Other Authors: Hung-Huan Liu
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/98905395778164984752

碩士 === 中原大學 === 電子工程研究所 === 99 === In recent years, the research of WiFi-based indoor positioning system is prone to attracted with the widely deployed of WLAN and mobile devices. In the past, the positioning method has been divided into three methods mainly: proximity, trilateration and scene analysis method. However, the shortcoming of proximity method is low accuracy. The trilateration method becomes worse accuracy in complex environment cause by multipath and obstacles. And it must be known the location of APs (access points). The scene analysis method has higher accuracy. But it needs to spend a lot of time for samples fingerprint of signal in system offline. In view of this, this thesis proposes a WiFi-based indoor positioning system that combines both of the characteristic of trilateration and scene analysis methods. It has fast system installation feature by using less sample points and don’t need to know each locations of AP. The proposed method determines which floor the user maybe on first and then determines the position where the user maybe at. The implementation of the proposed system has divided into two steps: offline and online. The offline mode includes data collection and system calibration. The online mode includes floor estimation and plane positioning processes. In this thesis, there are four methods in plane positioning: double matrix, weighted screening (WS), matrix WS and WS matrix. The study shows the WS is workable with acceptable accuracy.