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Adaptive Kalman Filter Based on Online ARW Estimation for Compensating Low-Frequency Error of MHD ARS 期刊论文  OAI收割
IEEE Transactions on Instrumentation and Measurement, 2024, 卷号: 73, 页码: 1-10
作者:  
Su, Yunhao;  Han, Junfeng;  Ma, Caiwen;  Wu, Jianming;  Wang, Xuan
  |  收藏  |  浏览/下载:23/0  |  提交时间:2024/07/22
Advancements in Buoy Wave Data Processing through the Application of the Sage-Husa Adaptive Kalman Filtering Algorithm 期刊论文  OAI收割
SENSORS, 2023, 卷号: 23, 期号: 16, 页码: 18
作者:  
Jiang, Sha;  Chen, Yonghua;  Liu, Qingkui
  |  收藏  |  浏览/下载:13/0  |  提交时间:2023/12/13
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:27/0  |  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.