采用基于历史的Wi-Fi指纹定位算法，根据若干个时间上连续的Wi-Fi信号指纹进行移动设备的室内定位。提出将室内结构和布局通过无向连通图进行建模，并将其应用到基于历史的Wi-Fi指纹定位算法中。实验结果表明，该方法能够明显削弱信号不稳定造成的影响，有效地提高室内定位的精度和稳定性，同时减少错误的房间和楼层估计。针对多楼层情况，提出了一个针对多楼层的处理算法，进一步提高了楼层的正确估计率。%Wireless positioning technologies and location-based services have gained much attention and development over the past several years. As a compensate to global positioning system (GPS), Wi-Fi positioning, Wi-Fi fingerprinting in particular, which makes use of widely-deployed wireless LANs, has been accepted as a common solution to indoor positioning. Due to the interference of various factors during the signal transmission, positioning accuracy is often degraded and unstable. The estimation of the room and the floor that the user is in is often wrong. This paper proposes to use a history-based Wi-Fi fingerprinting algorithm in combination with the interior structure of the building for indoor positioning. Experiments show that the enhanced algorithm is able to improve the accuracy and stability of Wi-Fi fingerprinting and reduce wrong estimations of rooms and floors. Furthermore, this paper proposes a multi-floor handling algorithm which is able to reduce wrong estimations of floors.
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