RELATIVE SHIP POSITIONING BASED ON INFORMATION FUSION IN THE MITS
Marine Intelligent Transportation System (MIIS) 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 cant 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.
Ship positioning MITS Integrated navigation system Information fusion Relative measurement
QUAN-BO GE CHENG-LIN WEN
Institute of information and control, Hangzhou Dianzi University, Hangzhou, Zhejiang, P.R.China
国际会议
2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
昆明
英文
4068-4073
2008-07-12（万方平台首次上网日期，不代表论文的发表时间）