计算机与数字工程2025，Vol.53Issue(4)：1015-1019,1090,6.DOI:10.3969/j.issn.1672-9722.2025.04.017
组合导航系统高度增强算法研究
Research on Height Enhancement Algorithms for Combined Navigation Systems
摘要
Abstract
Aiming at the problems existing in the height measurement of barometric altimeter and GPS,a data fusion algo-rithm of barometric altimeter/gps combined system is proposed.By establishing the measurement model of the combined system,the data of the combined system are fused based on maximum likelihood estimation,and according to the principle of Kalman filter,a constant Kalman gain filtering algorithm is obtained.At the same time,the changes of sea level pressure and temperature are con-sidered,by adding adaptive weights to change the Kalman gain,the observation results of the combined system can be corrected.The results show that the adaptive Kalman filtering algorithm has an error standard deviation of 7.53 m for constant sea level pres-sure and temperature and 13.24 m for varying sea level pressure and temperature,which significantly improves the altitude estima-tion accuracy in the case of incorrect barometric altimeter measurements and ensures the altitude safety of the aircraft during flight.关键词
气压高度表/GPS/数据融合/极大似然估计/自适应Kalman滤波Key words
barometric altimeter/GPS/data fusion/maximum likelihood estimation/adaptive Kalman filter分类
计算机与自动化引用本文复制引用
杨姝,王一桦..组合导航系统高度增强算法研究[J].计算机与数字工程,2025,53(4):1015-1019,1090,6.基金项目
民航飞行技术与飞行安全科研基地项目(编号:F2019KF01)资助. （编号:F2019KF01）
