The Multi-state Model Fusion Algorithm for GNSS Navigation

被引:0
作者
Zhang, Dawen [1 ]
机构
[1] Shanghai Fudan Holding Hualong Microsyst Technol, Dept IC Design, Shanghai, Peoples R China
来源
PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON ELECTRIC AND ELECTRONICS | 2013年
关键词
GNSS; Kalman filter; data fusion; polynomial predictive; state space model;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
A novel fusion algorithm, termed as the multi-state model fusion filter (MSMF), was established for the global navigation satellite systems (GNSS) navigation. Firstly, a new state space model was presented by adopting the polynomial predictive idea and state dimension expansion. It was established without the knowledge of the original state dynamics, that is, no matter the original state propagation was known or not. Then two local estimation results were obtained based on the original model and the proposed model. Whereafter, the local results were fused to get the global estimation. The simulation results of the global positioning system (GPS) navigation verified the effectiveness of the proposed method.
引用
收藏
页码:422 / 425
页数:4
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