期刊文献+

组合导航系统UKF滤波算法设计 被引量:13

Design of Filter in Micro-Integrated Navigation System
下载PDF
导出
摘要 将平淡Kalman滤波(UKF)方法应用于低成本SINS/GPS/MC组合导航系统,建立了系统的非线性误差方程,并设计了相应的UKF算法与滤波器;针对组合导航中捷联惯性导航子系统的反馈修正,提出了一种根据误差角对四元数进行修正的方法.试验结果表明,本文设计的UKF效果优于集中Kalman滤波,且采用四元数反馈修正方法后较大地提高了滤波精度. The unscented Kalman filter (UKF) with feedback was applied in an integrated-navigation system which composed of inertial navigation system (INS), global positioning system (GPS) and magnetic compass (MC). The design of the UKF was described based on the nonlinear model of the system. A novel method by modifying the quaternion according to the feedback UKF filtering results was presented in order to reduce the attitude error. The experimental results show that the presented nonlinear UKF obtains a better performance compared to the centralized Kalman filter. Furthermore, the feedback of the filtering results can apparently increase the precision of the navigation results.
出处 《上海交通大学学报》 EI CAS CSCD 北大核心 2009年第3期389-392,共4页 Journal of Shanghai Jiaotong University
基金 航空科学基金资助项目
关键词 组合导航 平淡Kalman滤波 反馈校正 integrated navigation unscented Kalman filter feedback correction
  • 相关文献

参考文献7

二级参考文献14

  • 1Magill D.T. Optimal Adaptive Estimation of Sampled Stochastic Processes. IEEE Trans. AC, 1965, 10 (5): 434-439. 被引量:1
  • 2Maybeck P S, Hentz K P. Investigation of Moving- Bank Multiple Model Adaptive Algorithms. J. Guidance, 1987,10 (1): 90-96. 被引量:1
  • 3Chaer W S, Bishop R H, Ghosh J. A Mixture -of- Experts Framework for Adaptive Kalman Filtering.IEEE Trans.SMC-Part B: Cybemetics, 1997, 27 (3): 452-464. 被引量:1
  • 4Alan S. Willsky, Edward Y. Chow, Stanley B. Getshwin, Christopher S. Greene, Paul K. Houpt, Andrew L.Kurkjian. Dynamic Model- Based Techniques for the Detection of Incidents on Freeways. IEEE Trans. AC, 1980,2.5 (3): 347- 359. 被引量:1
  • 5Carlson, N. A. Federated filter for computer- efficient, near- optimal GPS integration. Position Location and Navigation Symposium, 1996., W.F.F. 1996, 22 - 26 Apr 1996 Page (s) : 306 - 314. 被引量:1
  • 6Julier S J, Uhlmann J K. A new method for the nonlinear transformation of means and covariances in filters and estimators[J]. IEEE Transactions on Automatic Control, 2000,45(3): 477-482. 被引量:1
  • 7Leonard J J, Bennett A A, Simth C M, etc. Autonomous underwater vehicle navigation[R]. MIT Marine Robotics Laboratory Technical Memorandum, 1998. 被引量:1
  • 8Carpenter R N. Concurrent mapping and localization with FLS[A].IEEE Proceedings of Symposium on AUV Tech[C]. Cambridge,MA, August 1998: 133-148. 被引量:1
  • 9Feder H J S, Leonard J J, Simth C M. Incorporating environmental measurements in navigation[A]. IEEE Proceedings of Symposium Symposium on AUV Tech[C]. Cambridge, MA, 1998:115-122. 被引量:1
  • 10Thorne R L. Asynchronous data fusion for AUV navigation using extended Kalman filtering[D]. Naval Postgraduate School.Monterey, California, 1997. 被引量:1

共引文献27

同被引文献106

引证文献13

二级引证文献70

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