| 基于EKF算法与卫星导航的民航货运高精度定位系统研究 |
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| 引用本文：卢春,何祖祺,刘友谊,陈川.基于EKF算法与卫星导航的民航货运高精度定位系统研究[J].计算技术与自动化,2024,(4):22-28 |
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| 中文摘要: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。 |
| 中文关键词:EKF 卫星导航 民航货运 PDOP BDS |
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| Research on High-Precision Positioning System for Civil Aviation Cargo Based on EKF Algorithm and Satellite Navigation |
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| Abstract:In recent years, the progress of nonlinear filtering algorithms has promoted the technical innovation of civil aviation 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 Kalman 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. |
| keywords:EKF satellite navigation civil aviation freight PDOP BDS |
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