Thesis (S.M.)--Joint Program in Oceanography/Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and the Woods Hole Oceanographic Institution), 2009. / Includes bibliographical references (p. 88-91). / The work presented in this thesis addresses the problem of the detection, classification and localization of seabed objects in shallow water environments using a time reversal approach in a bistatic configuration. The waveguide is insonified at low frequency ('kHz) with an omnidirectional source and the resulting scattered field is sampled by a receiving array towed behind an Autonomous Underwater Vehicle (AUV). The recorded signals are then processed to simulate onboard the AUV, the time reversed transmissions which serve to localize the origin of the scattered field on the seabed and estimate the position of the targets present. The clutter rejection based upon the analysis of the singular values of the Time Reversal operator is investigated with simulated data and field measurements collected off the coast of Palmaria (Italy) in January 2008. / by Alexis J. Dumortier. / S.M.

En milieu océanique grand-fond (profondeur >1000 m), la propagation d'ondes acoustiques UltraBasse Fréquences (UBF, 1-300 Hz) est caractérisée par une forte influence des propriétés géo-acoustiquede l'environnement marin. Classiquement, des méthodes de localisation du type matched field processing sont mises en place pour intégrer cet aspect lors de l'inversion. Cependant, ces méthodes sont connues pour être très sensibles à de petites erreurs de modélisation de l'environnement, qui sont en pratique inévitables. C'est pourquoi il convient mieux de se tourner vers d’autres méthodes d’inversion plus robustes à la méconnaissance de l'environnement. Dans ce manuscrit on choisit d'étudier une quantité, appelée invariant océanique. Elle est associée à la formation d’interférence et montre des propriétés intéressantes de robustesse à de petites variations des propriétés géo-acoustique du milieu. En adoptant une approche ondulatoire de la propagation, on s’intéresse particulièrement à deux phénomènes responsables de sa dépendance à la configuration source récepteur (la prédominance du champ acoustique par des groupes de modes et le comportement différencié des ondes montante et descendante constituant un mode). Cette approche permet une prédiction précise et une compréhension profonde du phénomène d'interférence en milieu grand-fond. En couplant cette théoriede l'invariant océanique avec le concept d'énergie piégée, une méthode de localisation est ensuite proposée. Elle prend la forme d'une discrimination en immersion utilisant comme entrée l'intensité acoustique d'un signal large bande reçu sur une antenne horizontale. / Within the deep-water ocean (depth >1000 m), low frequencies (1-300 Hz) acoustic waves are characterized by very long range propagation. In this context, the propagation is largely impacted by the oceanic environment. Thus, localization methods based on classical plane wave models do not perform well. Matched field processing has been proposed to include better environmental models, but it is known to perform poorly as soon as the environment is not perfectly known. Given that the ocean is a dynamic system, it changes quickly over time and space making this method inapplicable in an operational context. To circumvent this issue, a better way is to consider methods that do not require detailed knowledge about the environment.In this manuscript I consider a quantity called the Waveguide Invariant (WI) which is known to be robust to small environment variations. In particular, I investigate two phenomenons responsible for its dependence to the source-receiver configuration: the dominance of the acoustic field by groups of modes and the frequency dependence of the Eigenmodes. Using a ray-mode approach, these two features are integrated in a WI derivation which provides a thorough way to predict and understand the striation patterns in deep-water context. Then, using this underlying physics driving the propagation along with the concept of mode trapping, a depth localization method is proposed. The input data for the algorithm is a range-frequency intensity, as measured on a horizontal line array. This idea is explored and extended to propose a source depth discrimination which is performed as a binary classification problem.

The development of low-frequency SONAR systems, using a network of autonomous systems in unmanned vehicles, provides a practical means for bistatic measurements (i.e. when the source and receiver are widely separated, thus allowing multiple viewpoints of a target). Furthermore, time-frequency analysis, in particular Wigner-Ville analysis, takes advantage of the evolution of the time dependent echo spectrum to differentiate a man-made target (e.g. an elastic spherical shell, or cylinder) from a natural one of the similar shape (e.g. a rock). Indeed, key energetic features of man-made objects can aid in identification and classification in the presence of clutter and noise. For example, in a fluid-loaded thin spherical shell, an energetic feature is the mid-frequency enhancement echoes (MFE) that result from antisymmetric Lamb waves propagating around the circumference of the shell, which have been shown to be an acoustic feature useful in this pursuit. This research investigates the enhancement and benefits of bistatic measurements using the Wigner-Ville analysis along with acoustic imaging methods. Additionally, the advantage of joint space-time-frequency coherent processing is investigated for optimal array processing to enhance the detection of non-stationary signals across an array. The proposed methodology is tested using both numerical simulations and experimental data for spherical shells and solid cylinders. This research was conducted as part of the Shallow Water Autonomous Mine Sensing Initiative (SWAMSI) sponsored by ONR.

Cette thèse est une contribution à la caractérisation des fonds sous-marins par des techniques acoustiques. On s'intéresse aux fonds sédimentaires, principalement sédiments sableux. Les fonds de sables sont en effet fréquemment rencontrés par petits fonds sous nos latitudes. Les procédés existants de caractérisation acoustique des fonds visent le plus souvent à qualifier la géométrie du sol ou du sous-sol: morphologie du fond, typologie des faciès sédimentaires, identification du toit rocheux ... Toutefois, les détails du sous-sol marin (stratification et composition des sables) nous échappent le plus souvent et on a alors recours à des sondages in-situ ponctuels, coûteux et souvent difficiles à réaliser. Afin de résoudre ce problème, nous avons développé SCAMPI (Système de Caractérisation Acoustique Marine Propagation Interface). C'est un dispositif de caractérisation géoacoustique breveté qui vise justement à réduire notre myopie chronique dans les premiers mètres des sous-sols sableux immergés en calculant des profils verticaux des vitesses du son. Le système développé est typique d'un processus d'inversion basé sur des mesures distantes et indirectes (on ne touche pas le sol). Disposer de profils de vitesses pour caractériser le sous-sol est une étape nécessaire, mais insuffisante pour les applications visées. Pour ces dernières, il s’agit notamment de déterminer si le sable est fin ou grossier, s'il est homogène ou hétérogène, s'il contient des coquilles, s'il est compacté ou pas.Pour répondre à de telles questions, il est nécessaire d'utiliser des relations entre les vitesses du son et les propriétés des matériaux granulaires. Ces relations géoacoustiques sont quasi-inexistantes pour les sables marins, surtout pour les sables grossiers. Pour constituer de nouvelles relations géoacoustiques, il est proposé d’établir des bases de données à partir de mesures in-situ des vitesses acoustiques et des analyses des échantillons de sédiments prélevés au même endroit. Pour cela, un prototype de célérimètre a été développé, INSEA (INvestigation of SEdiment by means of Acoustic), qui permet de mesurer les vitesses et l'atténuation du son dans des sédiments, y compris dans des sables grossiers. / This thesis is a contribution to the seabed exploration by means of acoustical methods. We focus on sediment seabeds, especially on sand sediments because there are often encountered off European coasts. Existing acoustic methods for seabed characterization generally aim to qualify the sub-seafloor: sediment thickness or bedrock cap detection.Nevertheless, accurate sediment stratification or details of the involved sediment are generally out of reach. This is why SCAMPI (Sub-seafloor Characterization by Acoustic Measurements & Parameters Inversion) have been have designed. This patented device is a geoacoustical inversion method based on an underwater acoustic instrumentation towed in water column. It aims to identify and characterize sediment layers over a thickness of 5-10 meters below the seabed, quantifying major physical parameters as compressional speed. But vertical sound speed profiles of the sub-seabed is a necessary step but is insufficient to predict refined information about the sediment: is it coarse, homogeneous, does it contain inclusions ..?To give answers to these questions, geoacoustical relations linking acoustic parameters to sedimentological parameters are required. But these relations are sparse, particular for coarse sands.A velocimeter prototype INSEA (INvestigation of SEdiment by means of Acoustic) have been designed, to measure in situ acoustical parameters of the first centimeters of the seafloor, even in coarse sands. This work is the preliminary work leading to a new project which consist in building specific data bases to elaborate these geoacoustical relations and theoretical modeling in granular wet media suited to marine geophysics applications.

Les travaux présentés s'intéressent à la discrimination en immersion d'une source acoustique sous-marine monochromatique ultra basse fréquence (UBF, 0-500 Hz) à l'aide d'une antenne horizontale d'hydrophones. La discrimination en immersion consiste à déterminer si un signal reçu a été émis à proximité de la surface ou par une source immergée. Cette problématique est particulièrement intéressante pour la lutte sous-marine (discrimination entre bâtiments de surface et sous-marins) ou la biologie marine (discrimination entre espèces vocalement actives à la surface et en profondeur). Le champ acoustique généré par une source UBF peut être décomposé en modes, dont les caractéristiques dépendent de l'environnement et de la position de la source. Cette propagation modale est source de dispersion modale : les différents modes se propagent à différentes vitesses. Cela empêche d'utiliser les techniques classiques de traitement d'antenne. Cependant, l'antenne horizontale peut être utilisée comme un filtre spatial pour estimer les propriétés des différents modes : on parle alors de filtrage modal. Si l'antenne est suffisamment longue, les modes sont résolus et les modes filtrés peuvent servir à localiser la source (matched-mode processing). Dans le cas d'une antenne trop courte, les modes sont mal filtrés et la localisation est impossible. Nous cherchons donc une information moins précise mais plus robuste sur la position de la source, d'où le problème de la discrimination en immersion.Dans ces travaux, nous cherchons à exploiter les modes mal filtrés pour prendre une décision sur le caractère immergé ou non de la source. Nous proposons de baser cette décision sur la valeur estimée du taux d'énergie piégée, i.e. la proportion de l'énergie acoustique qui est portée par les modes piégés. Le problème de la discrimination est alors posé comme un test d'hypothèses binaire sur la profondeur de la source. Cette formulation physique du problème permet d'utiliser des méthodes de Monte Carlo pour prédire, à l'aide de simulations, les performances en discrimination dans un contexte donné. Cela permet de comparer diverses méthodes d'estimation du taux d'énergie piégée, et surtout de choisir un seuil auquel comparer ce taux pour décider si la source est en surface ou immergée.La méthode développée pendant la thèse est validée sur des données expérimentales marines. Les résultats alors obtenus sont cohérents avec les conclusions tirées des simulations. La méthode proposée permet notamment d'identifier avec succès une source de surface (le bruit d'un navire en déplacement) ainsi qu'une source immergée (une source UBF tractée à 30 m de profondeur), à l'aide d'une antenne horizontale de 360 m. / This work focuses on acoustic source depth discrimination in the ultra-low frequency range (ULF, 0-500 Hz), using a horizontal line array. Depth discrimination is a binary classification problem, aiming to evaluate whether a received signal has been emitted by a source near the surface or by a submerged one. This could serve applications such as anti-submarine warfare or marine biology.The acoustic field generated by a ULF source can be described as a sum of modes, which properties depend on environment and source location. This modal propagation leads to modal dispersion: the different modes propagate at different velocities. This forbid the use of classical beamforming schemes. However, the horizontal array can be used as a spatial filter to estimate the properties of the modes: this is modal filtering. With a sufficient array length, modes are resolved, and the filtered modes can be used to localise the source using matched-mode processing. If the array is too short, the poorly-filtered modes cannot be used for localisation. Therefore, we are looking for a less precise but more robust information on source location, which leads to source depth discrimination.In this work, the poorly-filtered modes are used to decide whether the source is near the surface or submerged. Because some of the modes (the "trapped modes") are weakly excited by a surface source, we propose this decision relies on the estimation of the trapped energy ratio, i.e. the ratio of acoustic energy borne by trapped modes to the total acoustic energy. The problem of depth discrimination is then formulated as a binary hypothesis test on source depth. This physical formulation allows using Monte-Carlo methods and simulations to predict performance in a given context. This enables comparison between several estimators of the trapped energy ratio and the choice of a relevant threshold which this ratio is compared to in order to decide between the two hypotheses. The approach developped in the manuscript is validated by its application to marine experimental data. The results are consistent with the conclusions drawn from simulations. The proposed method enables the succesfull identification of both a surface source (the noise of a travelling ship) and a submerged source (a ULF source towed 30 m below the surface), using a 360-m horizontal array.

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Coral reefs around the world are threatened by a variety of sources, from localized impacts, including overfishing and coastal development, to global temperature increases and ocean acidification. Conserving these marine biodiversity havens requires both global and local action informed by scientific research. In this thesis, I use data collected from the coral reefs around Kiritimati atoll (Republic of Kiribati) in the central equatorial Pacific, first to assess the applicability of two common metrics used in passive underwater acoustic research, and second to examine the effects of a marine heatwave and local human disturbance on an assemblage of corallivorous fish. Using acoustic data recorded in 2017 and 2018 on reefs around Kiritimati, I assess how sound pressure level (SPL) and the acoustic complexity index (ACI) respond to changes in fish sounds in a low frequency band (160 Hz – 1 kHz) and snapping shrimp snaps in a high frequency band (1 kHz – 22 kHz). I found that while SPL was positively correlated with increases in fish sounds and snap density, changes in ACI were dependent upon the settings chosen for its calculation, with the density of snaps negatively correlated with ACI across all settings. These findings provide evidence that despite its quick and prolific adoption, acoustic metrics like ACI should be thoroughly field-tested and standardized before they are applied to new ecosystems like coral reefs. Next, using underwater visual censuses (UVCs) of reef fish assemblages, I quantified how two functional groups of corallivores, obligate and facultative, responded to a mass coral mortality event created by the 2015-2016 El Niño. Declines in abundance of both groups were largely driven by the response of coral-associated damselfishes, Plectroglyphidodon johnstonianus in the obligate group and Plectroglyphidodon dickii in the facultative group, to heat stress and subsequent coral mortality. I also observed a significant decline in the species richness of obligate corallivores, and a continued decline in the abundance of obligate corallivores three years after the mass coral mortality event. Additionally, facultative corallivore abundance increased with disturbance, although the effect was modulated by year, likely due to their more adaptable diets. Corallivore assemblage structure was also influenced by the heat stress event, recovery, and local human disturbance. These results detail how an entire corallivorous assemblage is impacted by a coral mortality event and incidentally provide a timeline for corallivore decline. Together, these results provide information about new ways of monitoring coral reefs, and the ways in which two components of the reef fish community, obligate and facultative corallivores, respond to a mass coral mortality event. / Graduate / 2022-01-15

Thesis (S.M.)--Joint Program in Oceanographic Engineering (Massachusetts Institute of Technology, Dept. of Ocean Engineering; and the Woods Hole Oceanographic Institution), 1999. / Bibliography: p. 111-112. / by Kevin Xu. / S.M.

Thesis (Ph. D. in Applied Ocean Sciences)--Joint Program in Applied Ocean Physics and Engineering (Massachusetts Institute of Technology, Dept. of Ocean Engineering; and the Woods Hole Oceanographic Institution), February 2002. / Includes bibliographical references (leaves 161-170). / Sound propagation in shallow water is highly dependent on the interaction of the sound field with the bottom. In order to fully understand this problem, it is necessary to obtain reliable estimates of bottom geoacoustic properties that can be used in acoustic propagation codes. In this thesis, perturbative inversion methods and exact inverse methods are discussed as a means for inferring geoacoustic properties of the bottom. For each of these methods, the input data to the inversion is the horizontal wavenumber spectrum of a point-source acoustic field. The main thrust of the thesis work concerns extracting horizontal wavenumber content for fully three-dimensionally varying waveguide environments. In this context, a high-resolution autoregressive (AR) spectral estimator was applied to determine wavenumber content for short aperture data. As part of this work, the AR estimator was examined for its ability to detect discrete wavenumbers in the presence of noise and also to resolve closely spaced wavenumbers for short aperture data. As part of a geoacoustic inversion workshop, the estimator was applied to extract horizontal wavenumber content for synthetic pressure field data with range-varying geoacoustic properties in the sediment. The resulting wavenumber content was used as input data to a perturbative inverse algorithm to determine the sound speed profile in the sediment. It was shown using the high-resolution wavenumber estimator that both the shape and location of the range-variability in the sediment could be determined. / (cont.) The estimator was also applied to determine wavenumbers for synthetic data where the water column sound speed contained temporal variations due to the presence of internal waves. It was shown that reliable estimates of horizontal wavenumbers could be obtained that are consistent with the boundary conditions of the waveguide. The Modal Mapping Experiment (MOMAX), an experimental method for measuring the full spatial variability of a propagating sound field and its corresponding modal content in two-dimensions, is also discussed. The AR estimator is applied to extract modal content from the real data and interpreted with respect to source/receiver motion and geometry. For a moving source, it is shown that the wavenumber content is Doppler shifted. A method is then described that allows the direct measure of modal group velocities from Doppler shifted wavenumber spectra. Finally, numerical studies are presented addressing the practical issues associated with using MOMAX type data in the exact inversion method of Gelfand-Levitan. / by Kyle M. Becker. / Ph.D.