Bearing estimation using small tetrahedral passive hydrophone array

Datta, Urmila; Otnes, Roald; Lucas, Carmen E.

doi:10.1109/oceans.2010.5664345

Cited by 14 publications

(6 citation statements)

References 3 publications

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“…Sub-bottom profiling at site G and P was performed by cross correlating the beam-time series for the vertically upward looking and downward looking beams [3][4][5][6]. The beamforming in this situation is performed by an adaptive beamformer (Minimum Variance Distortionless Response-MVDR) for both the vertical line and tetrahedral array to obtain a narrower endfire beam compared to the conventional beamformer [5,19]. The covariance matrix is the same as used for the reflection loss estimate using the vertical array but the integration time was increased to 150 s for the tetrahedral array.…”

Section: Resultsmentioning

confidence: 99%

Seabed characterization using ambient noise and compact arrays on an autonomous underwater vehicle

Nielsen¹,

Siderius

Miller

et al. 2013

The Journal of the Acoustical Society of America

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Estimating the seabed geoacoustic properties at various fidelity levels has been a research topic for several decades. The majority of the applied seabed characterization techniques often require significant involvement of surface vessels, complex experimental setup and human interaction. Technical advances in underwater autonomy and the development of energy efficient electronics provide new opportunities to optimize underwater environmental surveys in particular of the seabed. In 2012, the CMRE conducted the GLASS'12 experiment in the Mediterranean Sea with the objective to investigate the feasibility of utilizing a hybrid autonomous underwater vehicle equipped with a compact nose array for long-duration seabed characterization over large areas. The vehicle has the capability of operating in traditional propulsion and glider mode, and the nose-mounted array consists of a 5-element vertical and 4-element tetrahedral array. The sound sources used as information carrier were ambient noise, e.g. sea surface generated noise and loud distant sources of opportunity. The experimental setup together with the newly developed autonomous equipment will be presented and examples of inferred reflection loss and sub-bottom profiling from the ambient noise are compared to ground truth measurements.

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Section: Resultsmentioning

confidence: 99%

Seabed characterization using ambient noise and compact arrays on an autonomous underwater vehicle

Nielsen¹,

Siderius

Miller

et al. 2013

The Journal of the Acoustical Society of America

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“…The algorithm has been generalized to other array shapes that also possess high geometrical symmetry. The algorithm with improved averaging was successfully adapted for use with a 4-element tetrahedral hydrophone array [1].…”

Section: Phase Gradient With Improved Averagingmentioning

confidence: 99%

A robust phase gradient bearing estimation algorithm for a tri-axis cross-dipole acoustic array, with application to a long range autonomous underwater vehicle homing and tracking system

Lucas¹,

Heard²,

Flemming³

et al. 2013

Proceedings of Meetings on Acoustics

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“…There are lots of examples of applications which use this kind of sensors as main elements in underwater acoustic networking. [10].…”

Section: Introductionmentioning

confidence: 99%

“…In time of arrival localization methods it is frequent to use anchor nodes [6], although self-localization algorithms exists to alleviate the deployment cost of such anchor nodes [7]. The methods based on time or angle of arrival are more popular due to the time-varying path loss and the strong multipath effect of the underwater channel, as [3] shows; however, the powerful approximation capabilities of deep neural networks are being used to locate using the received acoustic power, as [8]- [10] show.…”

Section: Introductionmentioning

confidence: 99%

Using a Deep Learning Algorithm to Improve the Results Obtained in the Recognition of Vessels Size and Trajectory Patterns in Shallow Areas Based on Magnetic Field Measurements Using Fluxgate Sensors

Pérez¹,

Parras²,

Zazo³

et al. 2022

IEEE Trans. Intell. Transport. Syst.

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Safety in coastal areas such as beaches, ports, pontoons, etc., is a current problem with a difficult solution and on which many organizations are putting efforts in terms of technological innovation. In this work the design of a possible solution based on magnetic sensors is presented. First, a study has been made of the type of sensors that best suit the application based on parameters such as sensitivity, the allowed bandwidth of excitation, price or physical construction. Then the system of excitation of the sensors and signal measurement is presented. To justify the design, a series of simulations of magnetic field variations have been carried out in the presence of large objects of conductive material, in the vicinity of the measuring points. With these data a mathematical model has been established that allows the identification of the dimensions and position of the object through triangulation and knowing only the data of the magnetic field. It was found that although this method seems quite effective, it has a significant error, so another method based on neural networks was developed also using data from the simulations. This method seems to yield much better and more reliable results.

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Bearing estimation using small tetrahedral passive hydrophone array

Cited by 14 publications

References 3 publications

Seabed characterization using ambient noise and compact arrays on an autonomous underwater vehicle

Seabed characterization using ambient noise and compact arrays on an autonomous underwater vehicle

A robust phase gradient bearing estimation algorithm for a tri-axis cross-dipole acoustic array, with application to a long range autonomous underwater vehicle homing and tracking system

Using a Deep Learning Algorithm to Improve the Results Obtained in the Recognition of Vessels Size and Trajectory Patterns in Shallow Areas Based on Magnetic Field Measurements Using Fluxgate Sensors

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