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多传感器组合导航系统研究 被引量:4

Study on Multi-Sensor Combined Navigation System
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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 。 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.
出处 《航天控制》 CSCD 北大核心 2001年第2期67-72,80,共7页 Aerospace Control
关键词 组合导航系统 INS 雷达 多传感器 元件 伪距 导航精度 仿真结果 组合系统 测速 Inertial navigation Global positioning system Combined navigation Kalman filtering
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参考文献2

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  • 2[3]K.P. Schwarz, M. Wei, M. Van Celderen. Aided Versus Embedded, a Comparision of Two Approach to GPS/INSIntegration [A]. IEEE PLANS [C], 1994:314~322

同被引文献28

  • 1S.A.Broatch,A.J.Henley.An Integrated Navigation system Manger Using Federated Kalman Filtering[M].
  • 2Farhan A.Faruqi,Kenneth J.Turner.Extended Kalman Filter synthesis for integrated global positioning/inertial navigation systems[J].Applied Mathematics and Computation 115 (2000) 213-227.
  • 3Curtis D.Evans.The Design and Analysis of Integrated Navigation Systems Use Real INS and GPS Data[M].
  • 4X.F.He,Y.Q.Chen,B.Vik.Design of Robust Filtering for An Integrated GPS/INS System[J].Journal of Geodesy,73 (1999):407-411.
  • 5Shu-li Sun.Multi-sensor optimal information fusion Kalman filters with applications[J].Aerospace Science and Technology.8(2004) 57-62.
  • 6Hong Zhuan Qiu,Hong Yue Zhang,Hong Jin.Fusion algorithm of correlated local estimates[J].Aerospace Science and Technology 8(2004) 619-626.
  • 7刘建业,赵伟,熊智,孙永荣.定位与导航系统[M].南京:南京航空航天大学,2008:15-20.
  • 8Morelli E A,Derry S D,Smith MS. Aerodynamic Parameter Estimation for the X-43A (hyper-X) from Flight Data[A].San Francisco CA,.
  • 9Karlgaard C D,Martin J G,Tartabini P V. Hyper-X Mach 10 Trajectory Reconstruction[A].San Francisco,CA,USA,.
  • 10陈佳明;张明照;戚红雨.应用MATLAB建模与仿真[M]北京:科学出版社,2001.

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