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分布式多传感器信息融合技术在水下车辆的应用

The Application of Distributed Multi-sensor Information Fusion Technology in Underwater Vehicle
作者:Ye LiYanqing Jiang 作者单位:National Key Laboratory of Autonomous Underwater Vehicle, Harbin Engineering University,Harbin 150001, China;National Key Laboratory of Autonomous Underwater Vehicle, Harbin Engineering University 加工时间:2014-07-18 信息来源:科技报告(Other) 索取原文[5 页]
关键词:多传感器信息融合;卡尔曼滤波器;状态估计;AUV;精确定位
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.
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