枢纽机场航站楼内低成本连续定位优化方法

目前民航事业正在飞速发展,随着运输业务量的快速增长和国内机场规模不断扩建,旅客在建筑面积巨大且结构复杂的航站楼内,无法精确定位旅客在航站楼内的位置,因此为旅客提供精准定位的位置服务需求与日俱增.结合航站楼内的蓝牙信号传输特性设计了基于EFK的融合定位算法以提高旅客定位结果的连续性,结合人员密集流动、走行路径的不同设计了基于粒子滤波的地图匹配融合定位算法,进一步提高旅客的定位精度.在开发环境下设计并实现枢纽机场航站楼内定位软件,并对提出的航站楼内定位算法进行实验验证和结果分析,在实验人员走行过程中,可有效改善在航站楼内的定位效果.

Low-cost Continuous Location Optimization Algorithm in Terminal of Hub Airport

At present,the civil aviation is developing rapidly,with the rapid growth of transport business and the continuous expansion of domestic airports,and in the terminal of hub airport which is large and complex,passengers cannot accurately locate their positions,so the demand for location service to provide accurate positioning for passengers is increasing day by day.Based on the characteristics of Bluetooth signal transmission in the terminal,an EFK-based fusion location algorithm is designed to improve the continuity of passenger location results.Considering the dense flow of people and different walking paths,a map matching fusion location algorithm based on particle filter is designed to further improve the positioning accuracy of passengers.The positioning software in terminal building of hub airport is designed which is implemented under development environment,and the positioning algorithm proposed in terminal is verified experimentally and the results are analyzed,which can effectively improve the positioning effect in the terminal building during the experimentation process.