Optimization Algorithm Design of Low Cost Location in Hub Airport Terminal

At present, the civil aviation industry is developing rapidly. With the rapid growth of transportation business and the continuous expansion of domestic airport scale, the demand for location service to provide accurate positioning for passengers is increasing. Combined with the Bluetooth signal transmission characteristics in the terminal, a fusion location algorithm based on EKF is designed to improve the continuity of passenger positioning results. Combined with the dense flow of people and different paths, a map matching fusion localization algorithm based on particle filter is designed to further improve the positioning accuracy. In the development environment, the positioning software of hub airport terminal is designed and implemented. The experimental verification and result analysis of the proposed algorithm are carried out.