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Research on navigation for underwater unmanned vehicle based on dynamic gray filtering method

机译:基于动态灰色滤波的水下无人飞行器导航研究

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摘要

According to the problem of large platform noise and external disturbance influence and the data may have outliers for UUV navigation, a dynamic grey filtering method based on fractional order operator is proposed. This method does not require prior knowledge and noise statistical properties of UUV system while establishing a dynamic grey model based on fractional operator according to navigation data. The deviation between the grey prediction value and the next navigation sample value is calculated and the data is fused according to the deviation to realize the real-time filtering. The simulation results show that the method is effective and feasible.
机译:针对平台噪声大,外部干扰影响大,数据对UUV导航可能存在离群的问题,提出了一种基于分数阶算子的动态灰度滤波方法。该方法在根据导航数据建立基于分数算子的动态灰色模型时,不需要UUV系统的先验知识和噪声统计特性。计算灰度预测值与下一个导航样本值之间的偏差,并根据该偏差融合数据,实现实时滤波。仿真结果表明该方法是有效可行的。

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