关于机场地面人员定位检测优化

摘要

Because of the large airport terminal area,the wireless signal is interfered,and multi path effect is obvious.Traditional wireless sensor localization algorithm is sensitive to the airport environment,which leads to large error of node localization.Based on the research of wireless signal propagation model,a positioning method based on Received Signal Strength Indication distance measurement is designed,and the algorithm is improved.In order to improve the positioning accuracy of the airport ground personnel,the Particle Swarm Optimization algorithm is used to reduce the error.The experimental results show that the improved algorithm can solve the shortcomings of the existing Received Signal Strength Indication and realize the accurate positioning of the wireless nodes in the region.%研究机场候机区候机人员易错过航班以及容易走失,且传统的无线定位方法受干扰大,定位精度不高等问题,应建立机场地面人员定位检测系统以提高机场服务水平.针对机场候机区较大,人员情况复杂,机场环境对无线信号影响大等特点,通过对无线信号传播模型进行研究,设计了一种基于RSSI测距的定位方法,利用PSO算法进行优化,在不增加无线网络硬件的基础上扩大定位范围和提高定位精度.PSO算法是一种优化迭代工具,通过优化算法来降低误差.实验结果表明,改进的机场地面人员定位算法能够解决现有RSSI定位精度不高的缺陷,在区域内实现无线节点较准确的定位.