Research On Indoor Positioning Method Of Large Airport Terminal Building Based On Multi-sensor Data Fusion

In recent years,with the rapid development of science and technology,people’s demand for location services is also increasing.The traditional GPS satellite positioning technology cannot accurately and effectively provide indoor positioning services due to the blockage of satellite signals by buildings.The demand for indoor positioning services is becoming stronger and stronger.Indoor positioning technology has received widespread attention from researchers at home and abroad.Indoor positioning technology based on multi-sensor data fusion has become a research hotspot.This article first conducts in-depth research on advanced indoor positioning at home and abroad,and then finds a suitable positioning method in conjunction with the specific environment of the airport terminal.Aiming at the problem of terminal WiFi signal instability,a pedestrian positioning method based on WiFi filtering method is proposed.This method filters WiFi signals,utilizes K-nearest neighbor(KNN)WiFi fingerprint matching method and combines with inertial navigation technology To achieve indoor positioning.Aiming at the problem of large terminal area and too long WiFi fingerprint matching time,a WiFi indoor positioning method based on inertial navigation is proposed.This method uses a clustering method to classify WiFi fingerprints to form a cluster center and uses inertial navigation The technology reduces the matching range of WiFi fingerprints,thereby greatly reducing the time-consuming positioning and greatly improving the real-time nature of the positioning.By effectively solving the problems of the unstable WiFi signal and the long WiFi fingerprint matching time in the airport terminal,the accuracy and real-time positioning are greatly improved,and high-quality terminal positioning services are provided for passengers.Effectively improve the comprehensive service quality of the airport terminal.