Federated Filter for Multi-Sensor Data Fusion of Dynamic Positioning Ship

被引：0
|
作者：
Shi, Xiaocheng [1 ]
Sun, Xingyan [1 ]
Fu, Mingyu [1 ]
Chen, Youzhen [1 ]
Xie, Wenbo [1 ]
机构：
[1] Harbin Engn Univ, Dept Automat, Harbin, Heilongjiang Pr, Peoples R China
来源：
2012 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS (ICAL) | 2012年
关键词：
dynamic positioning; data fusion; federated filter; unscented kalman filter; positioning reference system;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
High precision and a good capability of fault tolerant are more and more required for today's dynamic positioning system. In this paper, a new kind of data fusion method is presented for the DP system by using federated filters and Unscented Kalman Filter technique. This method could overcome the single sensor's weakness, and the UKF technique bring the algorithm with a good precision for nonlinear problem, while the federated structure significantly enhances the filters' capability of multi-rate information fusion, fault tolerance, and system modularity.
引用
收藏
页码：13 / 18
页数：6
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