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

机译:分布式多传感器信息融合技术在水下车辆中的应用

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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.
机译:本文介绍了分布式多传感器信息融合技术在水下车辆准确定位的应用。根据AUV“T1”中分布式多传感器的系统结构,本文建立了卡尔曼滤波数学模型,完成了基于卡尔曼滤波的融合算法和数值模拟。实验结果表明,基于卡尔曼滤波的融合算法的应用可以避免单个传感器的局限性,降低其不确定性的影响并提高数据的置信水平。

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