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《Journal of East China Shipbuilding Institute》 2001-06
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Application of Multi-sensor Information Fusion Technique in a Warship Integrated Navigation System

SHENG San yuan, WANG Jian hua, LI Jing wen (Dept. of Electronics and Information, East China Shipbuilding Institute, Zhenjiang Jiangsu 212003, China)  
An error model of the warship INS is introduced. Aimed at the model, the structure and algorithm of the federated Kalman filter based on information fusion theory are given. With the theory analysis and simulation results, it comes to the conclusion that the design of the warship INS/GPS/Loran C integrated navigation system is successful, and the algorithm is excellent in the whole and can satisfy the requirement of precision. Also, the federated Kalman filter can improve the fault tolerance of the system.
【CateGory Index】: U666.11
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1 HOU Yan-dong~1,GE Quan-bo~2,WEN Cheng-lin~(2,3)(1.Henan University,Kaifeng 475001,China;2.Shanghai Maritime University,Shanghai 200135,China;3.Hangzhou Dianzi University,Hangzhou 310018,China);GPS/SINS Ship Integrated Navigation Algorithm Based on Measurement Component Weighted Fusion[J];Navigation of China;2008-01
Chinese Journal Full-text Database 1 Hits
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【Secondary Citations】
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