期刊文献+

基于SUKF滤波的INS/DVL组合导航研究 被引量:1

INS/DVL Integrated Navigation Based on the Scaled UKF
在线阅读 下载PDF
导出
摘要 惯性导航系统(INS)长时间自主工作存在误差积累,采用INS与多普勒速度计程仪(DVL)组合的方案导航。针对组合导航系统状态维数较高,采用算法实现和估计精度优于传统扩展卡尔曼滤波的尺度变换模式的UKF(SUKF)方法。仿真结果表明,采用SUKF滤波方法实现INS/DVL组合导航是可行的。 This paper introduces the application of INS/DVL integrated navigation technology. The Scaled UKF (SUKF) is superior to the EKF in algorithm coding and estimation precision. It is a good method to deal with the state with high dimension. The simulation results show that the method with SUKF of INS/DVL integrated navigation is feasible
出处 《中国舰船研究》 2008年第6期57-60,共4页 Chinese Journal of Ship Research
基金 国家自然科学基金资助(40376011)
关键词 惯性导航系统(INS) 多普勒速度计程仪(DVL) 仿真 inertial navigation system (INS) doppler velocity log (DVL) simulation
作者简介 孙睿智(1965-),男,高级工程师。研究方向:舰船电子武备系统。E-mail:sunlinbo@163.com 葛德宏(1977-),男,博士研究生。研究方向:导航与舰船操纵控制。E-mail:gdhjbb@163.com
  • 相关文献

参考文献7

二级参考文献13

  • 1王丹力,张洪钺.惯导系统初始对准的非线性滤波算法[J].中国惯性技术学报,1999,7(3):18-22. 被引量:30
  • 2翁海娜,李滋刚,万德钧.液浮陀螺漂移的试验建模研究[J].中国惯性技术学报,1999,7(2):31-35. 被引量:18
  • 3ZhangHongmei DengZhenglong.UKF-based attitude determination method for gyroless satellite[J].Journal of Systems Engineering and Electronics,2004,15(2):105-109. 被引量:7
  • 4张红梅,邓正隆.UKF方法在陆地车辆组合导航中的应用[J].中国惯性技术学报,2004,12(4):20-23. 被引量:10
  • 5[1]Kushner H J. Dynamical Equations for Optimum Non-linear Filtering. J. Differential Equations, 1967, 3 (2): 179~ 190.
  • 6[2]Julier S, Uhlmann J K. A New Method for the Nonlinear Transformation of Means and Covariance in Filters and Estimators. IEEE Trans. on AC, 2000, 45(3): 477~482.
  • 7[3]Julier S, Uhlmann J K. A General Method for Approximating Nonlinear Transformations of Probability Distributions. Technical Report, Robotics Research Group, Department of Engineering Science, University of Oxford,1994.
  • 8[4]Athans M, Wishner P P. Suboptimal State Estimation for Continuous-Time Nonlinear Systems from Discrete Noisy Measurements. IEEE Trans. on AC, 1968, 13(10) : 504~518.
  • 9[5]Uhlmann J K. Simultaneous Map Building and Localization for Real Time Applications. Technical Report, University of Oxford, UK, 1994.
  • 10Julier S, Uhlmann J K. A general method for approximating nonlinear transformations of probability distributions[R].Robotics Research Group, Department of Engineering Science, University of Oxford, 1994.

共引文献31

同被引文献6

  • 1Leader D E. Kalman filter estimation of underwater vehicle position and attitude using a doppler velocity aided inertial motion unit[D]. Massachusetts: Massachusetts Institute of Technology, 1994: 10-13.
  • 2Kinsey J C, Whitecomb L L. In situ alignment calibration of attitude and doppler sensor for precision underwater vehicle navigation[J]. IEEE Journal of Oceanic Engineering. 2007, 32(2): 286-299.
  • 3Larsen M B. High performance doppler inertial navigation-Experiment results[C]// Ocean 2000 MTS/ IEEE Conference and Exhibition, Vol.2, 2000.
  • 4Bingham B. Predicting the navigation performance of underwater vehicles[C]//The 2009 IEEE/RSJ Intemational Conference on Integrated Robots and Systems. St Louis, USA, October 11-15, 2009.
  • 5李瑶,徐晓苏,吴炳祥.AUV组合导航系统信息匹配的可观测度[J].中国惯性技术学报,2008,16(5):589-594. 被引量:4
  • 6申亮亮,王新龙.弹道导弹SINS空中在线标定方法[J].航空兵器,2009,16(2):3-7. 被引量:4

引证文献1

二级引证文献16

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部