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中文核心期刊

相关测速声呐时空相关函数模型改进研究

The research of temporal-spatial correlation function model improvement of correlation sonar

  • 摘要: 相关测速声呐通过对回波的理论时空相关函数和数据时空相关函数进行最小二乘拟合或其它优化算法来解算载体速度,因此理论时空相关函数模型的准确性对速度解算是至关重要的。通过对多次海试数据的处理发现,在某些情形下,相关测速声呐的理论空间相关函数和数据空间相关函数三维俯视图形状不匹配,导致速度估计结果不准确。通过对时空相关函数理论模型进行改进,将理论空间相关函数在水平面上的投影由圆形修改为椭圆,则其与数据空间相关函数拟合得更好,从而使相关测速声呐测速准确度得到了提高,并得出相关函数的三维俯视图呈椭圆形状与部分海底表面不平整性的各向异性有关的结论。

     

    Abstract: Correlation Sonar obtains the velocity of vessel by least-square fitting the theoretical correlation function and data correlation function or other optimization method, so the veracity of theoretical model is very important for velocity calculation. After massive data processing, it was found that, under some circumstances, the shape of the theoretical correlation function and data correlation function in three-dimensional space doesn't match well, which leads to less accurate of the velocity measuring results. By adapting the horizontal projection of the model from circle to ellipse, the theoretical correlation function is improved to fit the data correlation function more precisely, the velocity measuring accuracy improves accordingly. The conclusion that the ellipse shape of the correlation function is caused by the inhomogeneity of the sea-bottom interface roughness is obtained.

     

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