DocumentCode :
2796675
Title :
Relative ship positioning based on information fusion in the MITS
Author :
Ge, Quan-bo ; Wen, Cheng-lin
Author_Institution :
Inst. of Inf. & Control, Hangzhou Dianzi Univ., Hangzhou
Volume :
7
fYear :
2008
fDate :
12-15 July 2008
Firstpage :
4068
Lastpage :
4073
Abstract :
Marine intelligent transportation system (MITS) is a large-scale wireless sensor networks in which communications are frequent, so a mass of abundant information about shipping exists in it. The current ship positioning methods mostly consider how to fuse the information from the active integrated positioning system which is composed of GPS, SINS, TNS, and SMS and so on. As a result, the abundant information in the MITS canpsilat be effectively used. Additionally, GPS possesses the fallibility in the practical application and the insecurity in the control authority. So, for above problems a novel ship positioning algorithm based on information fusion and relative measurements is proposed in this paper, namely it uses the navigation information from other ships to improve the positioning estimate by information fusion technology. Compared with its active integrated positioning estimate, the proposed relative positioning algorithm has better position accuracy, higher stability and better fault-tolerance capability etc... The algorithm analysis and simulation example both show the validity and advantage of the proposed algorithm.
Keywords :
control engineering computing; navigation; position control; sensor fusion; ships; traffic control; traffic engineering computing; wireless sensor networks; MITS; information fusion; large-scale wireless sensor networks; marine intelligent transportation system; navigation information; relative ship positioning; Fuses; Global Positioning System; Intelligent networks; Intelligent sensors; Intelligent transportation systems; Large-scale systems; Marine transportation; Marine vehicles; Silicon compounds; Wireless sensor networks; Information fusion; Integrated navigation system; MITS; Relative measurement; Ship positioning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
Type :
conf
DOI :
10.1109/ICMLC.2008.4621114
Filename :
4621114
Link To Document :
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