Low-cost Location Optimization Algorithm Design In Terminal Of Hub Airport And Its Software Implementation

With the rapid development of modern economy and technology,both airlines and airports are advancing with the times.Because of the rapid development of my country’s aviation industry,the passenger traffic of civil aviation is also increasing.So the demand for passenger intelligent service system which can provide accurate positioning function in the terminal environment of hub airports is increasing.At present,according to the domestic airport environment,most domestic researchers use wireless networks to study the air wireless signal propagation model,and further improve the positioning accuracy through algorithm research without adding wireless network hardware.With the expansion of the airport,the building area is huge,and the passenger throughput of the hub airport is large,so the flow of people in the airport terminal is frequent.The wireless signal will be affected by obstacles and personnel in the propagation process,so it is necessary to develop a location service software for large-scale passengers’ precise positioning.Aiming at the above problems,the low-cost positioning optimization algorithm in the terminal building of the hub airport is researched.And the positioning software in the terminal building is developed and verified by experiments.The main contents of this thesis are as follows:(1)The research status of positioning technology in terminal building of hub airport is analyzed.On the basis of previous research and summary,the environmental factors in terminal building of hub airport are analyzed.Based on the existing iBeacon positioning technology in terminal building,the passenger positioning schemes are proposed for weak breakpoints environment which is produced because of iBeacon characteristics and crowded environment in terminal building of airport.This positioning scheme is proposed that is in order to further improve the continuity and positioning accuracy of passenger positioning.(2)Aiming at the propagation characteristics of the Bluetooth signal at the hub airport in the terminal building,the iBeacon positioning technology will appear breakpoint and weak field environment.This paper proposes a fusion positioning algorithm in the breakpoint and weak field environment in the terminal building.The paper use the multi-sensor positioning technology of the intelligent mobile terminal to improve the continuity of passenger positioning.Fusion positioning algorithm is to filter the relevant data information collected and model construction,and the extended Kalman filtering algorithm is used to fuse the iBeacon positioning technology with the PDR positioning technology which is in order to improve the continuity of the breakpoint and weak field environment which is caused by iBeacon positioning in the terminal.(3)Aiming at the influence of personnel walking in the terminal of the hub airport on wireless positioning,this paper proposes a map matching fusion algorithm under the crowded environment in the terminal building,which combines the positioning algorithm in the breakpoint and weak field environment with the map data in the SQLite database.Information,the particle filter algorithm is used to compare the obtained passenger location information with the map data in the database,so as to improve the positioning accuracy of passengers under crowded environment.At the end of this paper,the design and development of positioning software in the terminal of the hub airport is carried out.Using Android as the development environment,each functional module of the software is developed,and the relevant data information of Bluetooth and multi-sensors are collected through the API that comes with the smart mobile terminal.As part of the experimental environment,some areas in the terminal building of the hub airport are used to study the iBeacon,PDR,map matching positioning technology in the terminal environment,and a low-cost continuous fusion positioning algorithm in the terminal building is proposed.The above method is verified by the positioning software in the terminal,and the experimental results are analyzed.It can be seen that compared with the single indoor positioning technology,the low-cost continuous fusion positioning algorithm in the terminal proposed in this paper can improve the pedestrian’s Positioning continuity and positioning accuracy,thus reflecting the feasibility and practical value of the algorithm.Figure 46,table 12,reference 81.