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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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长春光学精密机械与物... [1]
数学与系统科学研究院 [1]
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OAI收割 [2]
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会议论文 [1]
期刊论文 [1]
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2019 [1]
2010 [1]
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A REMARK ON GLOBAL SOLUTIONS TO RANDOM 3D VORTICITY EQUATIONS FOR SMALL INITIAL DATA
期刊论文
OAI收割
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B, 2019, 卷号: 24, 期号: 8, 页码: 4021-4030
作者:
Roeckner, Michael
;
Zhu, Rongchan
;
Zhu, Xiangchan
  |  
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2020/01/10
Stochastic vorticity equations
controlled rough path
small initial data
Application of adaptive Kalman filter technique in initial alignment of strapdown inertial navigation system (EI CONFERENCE)
会议论文
OAI收割
29th Chinese Control Conference, CCC'10, July 29, 2010 - July 31, 2010, Beijing, China
作者:
Liu P.
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2013/03/25
In order to improve the alignment precision and convergence speed of strap-down inertial navigation system
but in the active system most noise statistical characteristics are unknown
an initial alignment method based on Sage-Husa adaptive filter is presented. We also derived the exactitude alignment error model and adaptive Kalman filter equation in the azimuth of small misalignment angle. As usual
in this case
known the noise statistical characteristics
we introduce the adaptive Kalman filter. It uses the information of observed data
Kalman filter is suitable
on-line estimation noise statistical characteristics and state simultaneously in order to improve the filter continuously
so
the filter has a higher estimation accuracy than the conventional Kalman filter. By simulating verifying
the adaptive Kalman filter enhances the convergence speed and alignment accuracy effectively.