运载器深空动力飞行INS／CNS／Doppler系统导航方法研究  

Research on INS/CNS/Doppler System＇s Navigation Method for Vehicle＇s Deep Space Dynamical Aviation

作　　者：闻立[1] 王艳东[1] 秦雪[1] 

机构地区：[1]北京航空航天大学,100191

出　　处：《现代导航》2010年第1期17-21,共5页Modern Navigation

摘　　要：提出了一种运载器深空动力飞行阶段的精确自主导航方法。以捷联惯性导航系统为主导航系统，并辅以天文导航、多普勒导航，利用信息融合技术，构成SINS／CNS／Doppler组合导航系统。以惯性导航的信息误差量作为系统状态量，建立系统数学模型，在天文观测信息的基础上，利用单程多普勒频移测量运载器与地面站的相对速度，采用联邦滤波算法将观测信息有效地融合在一起，完成运载器深空动力飞行阶段的导航任务。对提出的导航方法进行了数值仿真，仿真结果表明，该方法的导航速度估计精度达到0．04m／s，姿态估计精度达到1角秒以下，具有很高的导航精度。A navigation method provides accurate velocity and attitude angle for vehicle＇s deep space aviation is proposed. The system regards strap-down inertial navigation as the main navigation system. Assisted with Celestial Navigation System and Doppler Navigation System, it constitutes SINS/CNS/Doppler integrated navigation system through Information Fusion Technology. This paper takes the error of the navigation information as the state vector, uses both celestial method and one-way Doppler measurement from ground stations to establish federated filter to fuse information and finally accomplish the navigating task. Results show that the navigation velocity accuracy is about 0.04m/s, and the attitude angle accuracy is below 1″, which demonstrate this method is fit for Vehicle＇s Deep Space Aviation.

关 键 词：深空动力飞行 惯性导航 天文导航 多普勒导航 联邦滤波 

分 类 号：TN967.2[电子电信—信号与信息处理]