基于等效壳体反射系数的水下航行器声散射亮点模型研究

Research on the Application of Equivalent Reflection Coefficients in the Acoustic Scattering Highlight Model for Underwater Vehicles

  • 摘要: 经典亮点模型方法主要适用于简单目标的声目标强度计算,为了拓展其在复杂目标声散射特性预测中的适用性,前人提出了一种切片亮点模型方法。然而,在实际工程应用中,相较于Kirchhoff近似方法,亮点模型方法的计算精度仍然不足。为了克服这一局限性,本文提出了一种修正亮点模型方法,该方法通过对水下航行器各部件引入等效反射系数,并基于遗传算法(Genetic Algorithm, GA)对水下航行器各部件表面反射系数进行反演,在保留亮点模型方法计算效率优势的同时显著提升了对复杂目标声散射特性的预报精度。与板块元方法进行对比,相对平均误差小于4dB,计算效率相对提升1000倍。该方法为水下航行器目标声散射特性的快速实时预测提供了参考。

     

    Abstract: The classical highlight model method is primarily applicable for the target strength (TS) computation of simple targets. To extend its applicability to predicting scattering characteristics for complex targets, a sliced highlight model method was previously proposed. However, the accuracy of the highlight model method remains insufficient compared to the Kirchhoff approximation. To overcome this limitation, this study proposes a modified highlight model method that introduces equivalent reflection coefficients for different components of underwater vehicles and utilizes a genetic algorithm (GA) to invert the surface reflection coefficients of each component. This approach significantly enhances the prediction accuracy of complex target acoustic scattering characteristics while preserving the computational efficiency advantage of the highlight model. The proposed method yields an average error below 4 dB compared to the planar element method, with a computational efficiency improvement of about 1000 times, offering a practical solution for real-time prediction of underwater vehicle acoustic scattering characteristics.

     

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