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多传感器组合导航系统研究
引用本文:刘瑞华,刘建业,孙永荣.多传感器组合导航系统研究[J].航天控制,2001,19(2):67-72.
作者姓名:刘瑞华  刘建业  孙永荣
作者单位:南京航空航天大学
摘    要:设计了一种由INS、GPS和Doppler测速雷达构成的多传感器组合导航系统。采用GPS伪距、伪距率以及Doppler速度与INS组合 ,建立了其卡尔曼滤波方程 ,设计了飞行轨迹 ,给出了惯性元件精度较低时组合系统的仿真输出。仿真结果表明 ,多传感器组合导航系统能有效提高导航精度 ,降低对惯性元件的性能要求 ,是导航系统的发展方向

关 键 词:惯性导航  全球定位系统  组合式导航  卡尔曼滤波
修稿时间:2000年10月8日

Study on Multi- Sensor Combined Navigation System
Liu Ruihua Liu jianye Sun Yongrong Nanjing University of Aeronautics and Astronautics,Nanjing.Study on Multi- Sensor Combined Navigation System[J].Aerospace Control,2001,19(2):67-72.
Authors:Liu Ruihua Liu jianye Sun Yongrong Nanjing University of Aeronautics and Astronautics  Nanjing
Institution:Liu Ruihua Liu jianye Sun Yongrong Nanjing University of Aeronautics and Astronautics,Nanjing 210016
Abstract:A multi-sensor navigation system composed of INS , GPS and Doppler was designed in this paper. An integrated system was established utilizing pseudo range, pseudo range rate and Doppler velocity. We construct the Kalman filter equation, design the flying profile, and then simulated the integrated system when the IMU performance is low. The simulation results bring out the conclusion that the multi sensor navigation system can greatly improve the navigation performance, depress the demand of the IMU . It points out the development direction of the navigation system.
Keywords:Inertial navigation    Global positioning system    Combined navigation Kalman filtering  
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