自适应卡尔曼滤波在移动卫星通讯系统中的应用

Application of Adaptive Kalman Filter in Moving Satellite Communication System

研究了自适应卡尔曼滤波技术在移动卫星通讯系统中的应用。首先分析长时间工作的移动卫星通讯系统对导航定位系统的要求 ,其次通过对系统建模建立系统方程 ,利用 GPS信息和激光陀螺惯性导航系统 (L INS)信息建立量测方程。为了避免滤波发散 ,卡尔曼滤波算法采用 Sage&Husa算法。最后给出在北京西郊跑车实验的结果。实验结果表明 :采用自适应卡尔曼滤波技术的 L

This paper investigates the application of adaptive Kalman filter in Moving Satellite Communication System.First,it analyses the requirement on the navigation system by Moving Satellite Communication System which works over a long period.Second,the state equation is built by modeling the system,and the observation equation is got by using GPS and Lasergyro inertial navigation system(LINS) information.Sage&Husa algorithm is used to avoid filtering divergence.In the end,the results of research in western suburb are presented,which indicate that the performance of Moving Satellite Communication System is improved by using integrated LINS/GPS system.