Indoor Positioning Method for Smart Mobile Device Based on Fuzzy Wi-Fi Fingerprint
Tzu-Yu Chang, Ying‐Ren Chien
Abstract
With the increasingly mature Global Positioning System (GPS), the demand for Indoor Positioning System (IPS) has begun to emerge. Unfortunately, due to the problem of signal shielding of buildings, people need to find other available indoor signal sources. Although Wi-Fi meets the available conditions, due to the presence of indoor obstacles, the signal strength can not be used to estimate the distance from the signal source, and only the fingerprint table comparison method can be used for positioning. This paper proposes an indoor positioning algorithm suitable for smart mobile devices. It is based on Wi-Fi fingerprint table recognition with fuzzy logic and adds three-axis acceleration, air pressure, and GPS signal data to assist in positioning. The performance of our algorithm is evaluated by the experimental results which show that our proposed scheme can increase the accuracy of the positioning system.