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首页> 外文期刊>Radar, Sonar & Navigation, IET >Data-based fused modal scintillation index for depth classification of a moving source using a single receiver
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Data-based fused modal scintillation index for depth classification of a moving source using a single receiver

机译:基于数据的融合模式闪烁指数,用于使用单个接收器对移动源进行深度分类

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摘要

A data-based discriminant based on fusing the scintillation of normal mode amplitudes is proposed for depth classification of surface/submerged moving source passively in a shallow water waveguide. The approach is based on a modified Hankel transform to estimate the modal wavenumber spectrum using the synthetic aperture created by the moving source. The modal wavenumber peaks are corresponding to the terms of modal excitation time series associated with the temporal modulation of an acoustic source's depth, which is used to build the fused modal scintillation index (FMSI). FMSI's robustness is presented through analysing its dependence on the SSP, sediment properties, frequency, the receiver depth, and the source depth fluctuation. Real data for a ship of opportunity and a controlled towed source collected in South China Sea preliminarily illustrates FMSI's potential for depth classification. The fused modal scintillation approach may provide a robust method for qualitative binary source depth classification.
机译:提出了一种基于融合正常模式振幅闪烁的基于数据的判别方法,用于浅水波导中被动地对表面/淹没运动源进行深度分类。该方法基于改进的汉克尔变换,以使用移动源创建的合成孔径来估计模态波数频谱。模态波数峰值与与声源深度的时间调制相关联的模态激励时间序列的项相对应,用于建立融合模态闪烁指数(FMSI)。通过分析FMSI对SSP,沉积物特性,频率,接收器深度和震源深度波动的依赖性,可以得出FMSI的鲁棒性。在南中国海收集的一艘机会船和一个受控的牵引源的真实数据初步说明了FMSI进行深度分类的潜力。融合模态闪烁方法可以为定性二进制源深度分类提供鲁棒的方法。

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