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The application of levenberg-marquardt algorithm in multi-beam sounding data

机译:levenberg-marquardt算法在多波束测深数据中的应用

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For reducing seabed topographic distortion, namely, the random error of the multi-beam sounding, which caused by the sound velocity error, Levenberg-Marquardt (LM) algorithm is introduced to sound velocity correction. The algorithm utilizes the relationship between the sound ray and the sound velocity to establish observation equations, i.e., LM equations. Then, the novel sound velocity profiles are inversed from above-mention LM functions based on the indirect adjustment theory. Finally, the distortion terrain of the seabed is corrected by forward calculating with the calculated sound velocity profiles. The results of field experimental data are shown that: the sound profile values computed by the LM algorithm are more closer to the true value of the sound profile than that of the substitutive sound profile measurements contaminated by the random error, and the mean square error (MSE) of depth correction has been reduced more than 70%, which effectively cut down the influence of the sound velocity on seabed topography.
机译:为了减少海床的地形失真,即由声速误差引起的多波束测深的随机误差,将Levenberg-Marquardt(LM)算法引入声速校正。该算法利用声线和声速之间的关系来建立观测方程,即LM方程。然后,基于间接调整理论,从上述的LM函数逆转了新颖的声速曲线。最后,通过使用计算出的声速剖面进行正向计算来校正海床的变形地形。现场实验数据的结果表明:与由随机误差和均方误差污染的替代性声音轮廓测量值相比,由LM算法计算的声音轮廓值更接近声音轮廓的真实值深度校正的MSE)降低了70%以上,从而有效地降低了声速对海床地形的影响。

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