中国科学院机构知识库网格系统: Application of improved UKF algorithm in initial alignment of SINS (EI CONFERENCE)

中国科学院机构知识库网格

Chinese Academy of Sciences Institutional Repositories Grid

Application of improved UKF algorithm in initial alignment of SINS (EI CONFERENCE)

文献类型：会议论文


作者	Su W. X.
出版日期	2011
会议名称	2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011, August 8, 2011 - August 10, 2011
会议地点	Zhengzhou, China
关键词	In order to improve the initial alignment accuracy and convergence rate of the SINS system proposed the improved UKF algorithm (AUKF) based on the Unscented Kalman Filter (UKF). Noise statistical characteristics are mostly unknown in real systems when it was effected by the initial value errors and dynamic model errors AUKF algorithm can real-time adjust the covariance of the state vector and observation vector and balance the right ratio of the state information and observation information in the filter results thereby improving the system performance. The experimental results show: The Improved UKF Algorithm enhances the convergence speed and alignment accuracy effectively. 2011 IEEE.
页码	187-190
收录类别	EI
源URL	[http://ir.ciomp.ac.cn/handle/181722/33094]
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	Su W. X.. Application of improved UKF algorithm in initial alignment of SINS (EI CONFERENCE)[C]. 见:2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011, August 8, 2011 - August 10, 2011. Zhengzhou, China.

入库方式： OAI收割

来源：长春光学精密机械与物理研究所

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