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Blind shallow-water acoustic channel estimation using frequency-domain natural gradient algorithm

机译:频域自然梯度算法盲浅水声信道估计

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Deconvolution with a signal received on a hydrophone in shallow water is made difficult by distortions caused by dynamic multipath propagation. It is acceptable to model the shallow water channel between the source and each hydrophone receiver as a multiple time-delay attenuation channel. Blind deconvolution techniques can adapt the processing to the acoustic environment if reasonable assumptions about the nature of the underwater channel used to represent the multipath propagation can be made. A blind deconvolution methodology for shallow-water channel estimation is employed and presented here, with no prior information on characteristics of the source or the channel. The methodology is based on the natural gradient in frequency-domain to minimize the mutual information. For its high efficiency and less computational complexity it is suitable for estimation of shallow-water channel. An application example of the approach using synthetic ocean acoustic data is also presented.
机译:通过动态多径传播引起的扭曲难以在浅水中接收在浅水中接收的信号的去卷积。将源和每个水多晶体接收器之间的浅水通道模拟作为多次延迟衰减信道是可以接受的。如果可以进行关于用于表示多径传播的水下信道的性质的合理假设,盲折叠技术可以使处理适应声学环境。在此采用和呈现用于浅水通道估计的盲解卷积方法,没有关于源或通道特性的先前信息。该方法基于频域中的自然梯度,以最小化相互信息。为了其高效率和较少的计算复杂性,它适用于浅水通道的估计。还提出了使用合成海洋声学数据的方法的应用示例。

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