1. An analysis of beamforming algorithms for passive bottom reflection-loss estimation
- Author
-
Lanfranco Muzi, Martin Siderius, and John Gebbie
- Subjects
Beamforming ,Acoustics and Ultrasonics ,Computer science ,Ambient noise level ,Reflection loss ,Function (mathematics) ,01 natural sciences ,Discrete Fourier transform ,03 medical and health sciences ,Spatial coherence ,symbols.namesake ,0302 clinical medicine ,Fourier transform ,Arts and Humanities (miscellaneous) ,0103 physical sciences ,symbols ,Reflection coefficient ,030223 otorhinolaryngology ,010301 acoustics ,Algorithm - Abstract
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.
- Published
- 2018