融合水平仪、气压计的行人位置估计算法  

Pedestrian Position Estimation Algorithm Integrating Level and Barometer

作　　者：王晓甜 付梦媛 毛永毅 WANG Xiaotian;FU Mengyuan;MAO Yongyi(Department of Electronic Engineering,Xi’an University of Posts and Telecommunications,Xi’an Shaanxi 710061,China)

机构地区：[1]西安邮电大学电子工程学院,陕西西安710061

出　　处：《传感技术学报》2022年第3期355-360,共6页Chinese Journal of Sensors and Actuators

基　　金：陕西省工业攻关项目(2022GY-094);西安市科技局高校人才服务企业项目(2019218114GXRC017CG018-GXYD17.18)。

摘　　要：针对行人位置感知问题提出了一种融合水平仪、气压计的行人位置估计算法。使用水平仪采用行人航迹推算算法完成行人二维室内定位,通过气压计辅助完成多楼层行人的位置识别。通过采集实时的水平仪数据和连续的气压计数据,可以准确完成行人处于多层建筑物时位置变化的追踪和定位。实验结果表明,本文算法定位的平均误差为1.3 m,90%的定位误差小于2 m,60%的定位误差小于1.5 m,优于传统行人航迹推算算法。A pedestrian position estimation algorithm combining level and barometer is proposed for the problem of pedestrian position perception.The level is used to complete the two-dimensional indoor pedestrian positioning by using the pedestrian track estimation algorithm,and the position recognition of pedestrians on multiple floors is assisted by the barometer.Pedestrian positions on multiple floors can be accurately identified by collecting real-time level data and continuous barometer data.The experimental result shows that the average positioning error of this algorithm is 1.3 m,90%of the positioning errors are less than 2 m,and 60%of the positioning errors are less than 1.5 m,which is better than the traditional pedestrian track estimation algorithm.

关 键 词：室内定位 位置估计 运动识别 水平仪 

分 类 号：TN929[电子电信—通信与信息系统]