Reflection loss estimation using shallow water ambient noise in the Arabian Sea off the west coast of India

This study provides an argument cautioning against the use of adaptive-beamforming (ABF) techniques in conjunction with a known method for estimating the bottom reflection loss from natural marine ambient noise. This application of ABF has been investigated in the past with rather inconsistent results. Furthermore, no formal proof that ABF algorithms do indeed provide an estimate of the bottom reflection loss is available. This study moves from a recent derivation of the relationship between the bottom reflection coefficient and the Fourier transform of the marine-noise spatial coherence function. The circumstances under which the beamforming operation approximates a discrete Fourier transform (DFT) of the spatial coherence function estimated from array data are analyzed. It is shown that, under certain conditions, conventional beamforming is equivalent to directly computing the DFT of the coherence function, as long as some subtle details are properly taken into account. Furthermore, it is shown that ABF cannot be guaranteed, in general, to perform this operation, and therefore provide an estimate of the bottom reflection coefficient. The conclusions are demonstrated on simulated and measured data.

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An analysis of beamforming algorithms for passive bottom reflection-loss estimation

Muzi

Siderius

Gebbie

2018

The Journal of the Acoustical Society of America

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Reflection loss estimation using shallow water ambient noise in the Arabian Sea off the west coast of India

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An analysis of beamforming algorithms for passive bottom reflection-loss estimation

An analysis of beamforming algorithms for passive bottom reflection-loss estimation

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