Information Fusion Based on Artifcial Intelligence Method for SINS/ GPS Integrated Navigation of Marine Vessel
- Resource Type
- Article
- Authors
- Chuang Zhang; Chen Guo; Mu‑Zhuang Guo
- Source
- Journal of Electrical Engineering & Technology, 15(3), pp.1345-1356 May, 2020
- Subject
- 전기공학
- Language
- English
- ISSN
- 2093-7423
1975-0102
The approaches of artifcial intelligence (AI)-based has widely been utilized to provide higher positioning precision for ship navigation by integrating the GPS with the SINS. To address the restrictions of complicated and dynamic information resulted from ship irregular motion, this paper proposes a novel ensemble learning technique to replace traditional single neural network. The ensemble learning approach is able to construct the SINS/GPS integrated navigation system model according to the SINS attitude, speed information and accelerometer, gyroscope output data. The proposed method is verifed using ship-mounted experimental data of various trajectories. Experimental results indicate that the proposed algorithm can signifcant improvement in positioning precision under the conditions of SINS and specifc GPS unavailability.