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首页> 外文期刊>EURASIP journal on advances in signal processing >Source Depth Estimation Using a Horizontal Array by Matched-Mode Processing in the Frequency-Wavenumber Domain
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Source Depth Estimation Using a Horizontal Array by Matched-Mode Processing in the Frequency-Wavenumber Domain

机译:波数域中通过匹配模式处理使用水平阵列的源深度估计

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摘要

In shallow water environments, matched-field processing (MFP) and matched-mode processing (MMP) are proven techniques for doing source localization. In these environments, the acoustic field propagates at long range as depth-dependent modes. Given a knowledge of the modes, it is possible to estimate source depth. In MMP, the pressure field is typically sampled over depth with a vertical line array (VLA) in order to extract the mode amplitudes. In this paper, we focus on horizontal line arrays (HLA) as they are generally more practical for at sea applications. Considering an impulsive low-frequency source (1–100 Hz) in a shallow water environment (100–400 m), we propose an efficient method to estimate source depth by modal decomposition of the pressure field recorded on an HLA of sensors. Mode amplitudes are estimated using the frequency-wavenumber transform, which is the 2D Fourier transform of a time-distance section. We first study the robustness of the presented method against noise and against environmental mismatches on simulated data. Then, the method is applied both to at sea and laboratory data. We also show that the source depth estimation is drastically improved by incorporating the sign of the mode amplitudes.
机译:在浅水环境中,匹配场处理(MFP)和匹配模式处理(MMP)是行之有效的源定位技术。在这些环境中,声场作为依赖深度的模式在远距离传播。有了这些模式的知识,就可以估计源深度。在MMP中,通常使用垂直线阵列(VLA)在整个深度上对压力场进行采样,以提取模式振幅。在本文中,我们将重点放在水平线阵列(HLA)上,因为它们通常更适合海上应用。考虑到浅水环境(100–400 m)中的脉冲低频源(1–100 Hz),我们提出了一种有效的方法,该方法通过对传感器HLA上记录的压力场进行模态分解来估计源深度。模式振幅是使用频率-波数变换来估算的,该变换是时分区间的2D傅里叶变换。我们首先研究了所提出的方法对噪声和对模拟数据的环境不匹配的鲁棒性。然后,将该方法应用于海上和实验室数据。我们还表明,通过合并模式幅度的符号,可以大大改善源深度估计。

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