The Application of Distributed Multi-sensor Information Fusion Technology in Underwater Vehicle

摘要：

　　The application of distributed multi-sensor information fusion technology in accurate positioning of Underwater Vehicle was introduced in this paper.According to the system structure of Distributed multi-sensor in an AUV T1,this article establishes the Kalman filtering mathematical model,accomplishes the fusion algorithm based on Kalman filtering and a numerical simulation.The experimental result shows that the application of fusion algorithm based on Kalman filtering can avoid the limitations of a single sensor,reduce its uncertainty impact and increase the confidence level of data.

关键词： multi-sensor information fusion Kalman filter state estimation AUV accurate positioning

作者: Ye Li Yanqing Jiang

作者单位: National Key Laboratory of Autonomous Underwater Vehicle, Harbin Engineering University,Harbin 150001, China

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 1006-1010

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）