A NEW INDOOR LOCATION ALGORITHM BASED ON THE Wi-Fi

Indoor positioning technology plays an important role in people's work and life today. The relationship between modern people's clothing, food, housing and transportation and location -based service (LBS) is increasingly close, which makes the study of indoor positioning technology become a hot research topic for many scholars. In this paper, an indoor positioning algorithm based on Wi-Fi fingerprint matching is proposed. In the offline stage, by deploying a small amount of radio signal strength to locate the area, the location area selection mechanism is used to predict the location of the mobile terminal, which can avoid signal instability caused by time mobility and avoid the impact of access point (AP) facility changes. In the online stage, the positioning engine receives the real-time signal fingerprint, and matches the fingerprint to find the location. Finally, several main positioning algorithms are simulated and compared in terms of positioning accuracy. The experimental results show that when the proposed new algorithm performs Wi-Fi positioning, compared with the traditional fingerprint positioning algorithm, the positioning accuracy is improved.