气压高度表增强GPS组合导航系统数据融合

针对在精密进场着陆阶段GPS信号易受干扰及高度准确性较差、气压高度表对气压及温度敏感的特点，提出了一种提高垂直方向定位精度的组合导航系统。基于GPS定位误差、气压高度表误差以及其“当前”统计模型，建立了系统的状态方程和观测方程，给出了采用迭代Kalman滤波的数据融合算法。理论分析仿真和实验结果表明，迭代Kalman滤波算法提高了垂直方向上的定位精度与实时性，改善可用性，性能优于Kalman滤波，保证了飞机在进近阶段的安全性和可靠性,可以作为精密进近阶段的着陆引导系统.

Data Fusion of Barometric Altimeter Enhanced GPS Integrated Navigation System

An integrated navigation system for improving the vertical positioning accuracy of barometric altimeter enhanced GPS was proposed.The state and observation equations were established based on the location error of GPS,height error of BA and their "current" statistic model.The data fusion algorithm was given by iterative Kalman filtering(IKF).The theoretical analysis simulation and test results indicated that the vertical positioning accuracy,performance,reality and availability are improved more efficiently by the IKF algorithm than Kalman filter.The safety and reliability of airplane in the process of near-enter is guaranded by the algorithm which can be used as a guide system for precision approaching and landing.