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中文核心期刊

北极波弗特海域被动声源深度辨识

Depth discrimination of passive sources in the Beaufort Sea of the Arctic

  • 摘要: 波弗特海因其独特的温盐结构, 形成一种双声道声学环境, 在海洋表层存在两个典型的声传播通道。论文研究了双声道环境下模态的传播特性, 发现声场中的低阶模态存在隧穿现象, 并表现出显著的空间分离特性。根据低阶模态优先填充单个声道的特性, 在双声道环境下构建了一种被动声源的深度辨识方法。首先, 将两个声道捕获的模态划分为不同的模态子空间。然后, 引入一种基于特征分解模态滤波器的子空间投影算子, 将接收信号投影到对应的子空间, 并通过比较能量确定目标所在的声道。最后, 通过蒙特卡罗仿真和北极试验数据验证了所提方法的有效性。结果表明, 即使在阵列孔径有限且仅有幅值信息可用的情况下, 所提方法仍能够稳健地实现深度辨识。

     

    Abstract: Due to its distinctive thermohaline structure, the Beaufort Sea creates a double duct acoustic environment, characterized by two typical sound propagation ducts in the surface layer of the ocean . This paper studies the propagation characteristics of modes in a double duct environment. It is found that the low-order modes in the sound field exhibit tunneling phenomena and significant spatial separation characteristics. Based on the characteristics that low-order modes preferentially fill a single duct, this paper constructs a method for depth discrimination of passive sound sources in a double-duct field environment. First, the modes captured by the two ducts are divided into different modal subspaces. Then, a subspace projection operator, based on eigenvalue decomposition modal filters, is introduced to project the received signal to the corresponding subspace. The duct where the target is located is determined by comparing the energy. Finally, the effectiveness of the proposed method is validated through Monte Carlo simulations and Arctic experimental data. The results demonstrate that the proposed method is robust for depth discrimination, even with limited array aperture when only amplitude information is available.

     

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