Bayesian geoacoustic inversion of single hydrophone light bulb data using warping dispersion analysis

Abstract

This paper presents geoacoustic inversion of a light bulb implosion recorded during the Shallow Water 2006 experiment. The source is low frequency and impulsive, the environment is shallow water, and the acoustic signal is recorded using a single receiver. In this context, propagation is described by modal theory, and inversion is carried out by matching modal dispersion curves in the time-frequency domain. Experimental dispersion curves are estimated using an advanced signal processing method called warping, allowing inversion to be carried out at a relatively short range (~/=7 km). Moreover, the inversion itself is performed using Bayesian methodology. This allows inference of the seabed structure from the data, including the number of seabed layers resolved, optimal estimates of the seabed parameters, and quantitative uncertainty estimates. Inversion results of the experimental data are in good agreement with both ground truth and estimates from other experimental data in the same region.

Acoustic monitoring of O2 production of a seagrass meadow

“…Similarly, the perturbation of the acoustic signal can be estimated from the modal interference patterns present in the spectrogram. These methods were proven to be efficient in estimating the sea bottom parameters (number of bottom layers and their sound speed, density and attenuation) using a single hydrophone (Bonnel et al, 2013).…”

A Volunteer Computing Project for Solving Geoacoustic Inversion Problems

“…The dispersion-based technique for the geoacoustic waveguide parameters estimation [9] introduced by J. Bonnel and his colleagues several years ago is currently a very dynamic field of research in underwater acoustics [8,10,23,25]. In this technique, the dispersion data is used as an input of the inversion algorithm.…”

“…The curves t = τm(f ) in the two-dimensional time-frequency space are called dispersion curves [20]. The experimental dispersion curves can be obtained from a pulse signal recorded by a single receiver (hydrophone) [8,10]. Usually, various approaches to the mode filtering are used to extract the dispersion curves from a time series obtained in an experiment.…”

“…The notion of geoacoustic inversion refers to a variety of techniques in underwater acoustics that can be used for the reconstruction of water column and bottom parameters from acoustic data [20]. While previously the data for the geoacoustic inversion was mostly obtained using expensive receiver arrays, recently it was shown that a single-hydrophone recording of a broadband pulse signal can be also successfully used for estimating the acoustical parameters of sea bottom [8][9][10]. Due to the lack of the spatial diversity in single-hydrophone measurements, the inversion procedure in this case relies on the so-called waveguide dispersion, i.e., the dependence of arrival times on frequency and mode number (see details, e.g., in [9,23]).…”

Sediment sound speed inversion with time-frequency analysis and modal arrival time probability density functions

“…Although most methods require long-range propagation, warping techniques have been successful even with short range data. 7 In this work, as in Ref. 9, we extract dispersion tracks and modal frequencies propagating with time from STFT representations using a particle filter (PF).…”