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	Application of adaptive Kalman filter technique in initial alignment of strapdown inertial navigation system (EI CONFERENCE)
	Huang C. ; Su W. ; Liu P. ; Ma M.
	2010
会议名称	29th Chinese Control Conference, CCC'10, July 29, 2010 - July 31, 2010
会议地点	Beijing, China
关键词	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.
页码	2087-2090
收录类别	EI
内容类型	会议论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/33128]
专题	长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
推荐引用方式 GB/T 7714	Huang C.,Su W.,Liu P.,et al. Application of adaptive Kalman filter technique in initial alignment of strapdown inertial navigation system (EI CONFERENCE)[C]. 见:29th Chinese Control Conference, CCC'10, July 29, 2010 - July 31, 2010. Beijing, China.

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