基于EKF算法与卫星导航的民航货运高精度定位系统研究
Research on High-Precision Positioning System for Civil Aviation Cargo Based on EKF Algorithm and Satellite Navigation
卢春 1何祖祺 1刘友谊 1陈川1
作者信息
- 1. 中国南方航空股份有限公司,广东 广州 510000
- 折叠
摘要
近年来,非线性滤波算法的进步推动了民航货运定位系统的技术革新,然而,这些系统仍面临训练速度慢、精度损失和无法高效处理大规模数据的问题.RTK定位精度的表现受模式影响,GPS定位误差在各方向均保持在2.2～3.4,相对稳定.研究引入扩展卡尔曼滤波算法,实测数据分析结果显示,E方向的定位误差最小,约为2.2,而N方向的误差较大,范围为2.5～4.结果强调了北斗系统与全球定位系统各自的系统特性差异,BDS/GPS的联合定位方法能显著优化PDOP值,有效解决了由于卫星几何构型差异或可见卫星数量不足引发的问题.
Abstract
In recent years,the progress of nonlinear filtering algorithms has promoted the technical innovation of civil a-viation cargo positioning systems.However,these systems still face the problems of slow training speed,loss of accuracy and inability to efficiently handle large-scale data.The performance of RTK positioning accuracy is affected by the mode,and the GPS positioning error remains between 2.2 and 3.4 in all directions,which is relatively stable.The extended Kal-man filter algorithm is introduced in this study,and the analysis results of the measured data show that the positioning error in the E direction is the smallest,about 2.2,while the error in the N direction is larger,ranging from 2.5 to 4.The results highlight the differences between BDS and GPS.The BDS/GPS joint positioning method can significantly optimize the PDOP value,and effectively solve the problems caused by the difference in satellite geometry or the insufficient number of visible satellites.
关键词
EKF/卫星导航/民航货运/PDOP/BDSKey words
EKF/satellite navigation/civil aviation freight/PDOP/BDS引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据