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BLIND OCEAN ACOUSTIC TOMOGRAPHY WITH SOURCE SPECTRUM ESTIMATION

机译:盲目的海洋声学断层扫描,源谱估计

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Classic acoustic tomography uses controlled sound sources to probe the ocean for its physical properties. Instead, passive ocean acoustic tomography aims at using natural noise sources, such as wind induced noise, wave noise, or shipping noise with the scope of inverting for the ocean and/or bottom geophysical properties. Most studies found in the literature make use of ambient noise and sea surface wind generated noise, to invert bottom parameters in shallow water regions. Recently, another approach used shipping noise as illuminating signals to invert for water column parameters [Jesus et al., Conference on Acoustic Variability, Lerici (Italy), September 2002]. In that work, a focalization process was used to simultaneous invert known geometrical and unknown environmental parameters. In particular it was shown that known geometrical parameters such as source range and depth, and receiving array geometry, could be used as focus and out of focus indicators. During the focus periods, estimated water column parameters favorably compared to independently measured values. One of the difficulties found with the shipping noise was the low received power and the difficulty to determine a sufficient number of stable frequencies. In the present work, the received signal is used to deconvolve the source power, and thus obtain a full-spectrum weighting function for optimum frequency combination during the focalization process. Results obtained in the same ship noise data set have shown an certain improvement where a stable localization and inversion could be seen throughout the run.
机译:经典声学断层扫描使用受控声源来探测海洋的物理性质。相反,被动海洋声学断层扫描旨在使用天然噪声源,例如风致噪声,波噪声或运输噪声,其范围为海洋和/或底部地球物理性质。在文献中发现的大多数研究利用环境噪音和海面风产生噪音,在浅水区反转底部参数。最近,另一种方法使用了运输噪声作为透明信号来反转水列参数[耶稣等,声学变异性会议,LERYI(意大利),2002年9月]。在该工作中,使用聚焦过程来同时反转已知的几何和未知的环境参数。特别地,显示了已知的几何参数,例如源范围和深度,以及接收阵列几何体,可以用作焦点和焦点指示器。在聚焦期间,与独立测量值相比,估计的水柱参数有利。在运输噪声中发现的困难之一是低置的功率和难以确定足够数量的稳定频率。在本工作中,接收信号用于解构源功率,从而获得聚焦处理期间的最佳频率组合的全频谱加权函数。在同一船舶噪声数据集中获得的结果已经显示出一定的改进,其中在整个运行中可以看到稳定的本地化和反转。

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