A New Synthetic Aperture Sonar Design with Multipath Mitigation

Pinto, Marc; Bellettini, A.; Wang, Lian Sheng; Munk, Peter; Myers, Vincent; Pautet, L.

doi:10.1063/1.1843044

Cited by 10 publications

(3 citation statements)

References 3 publications

(4 reference statements)

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“…In order to address this need, the seafloor relief scenes were rendered into acoustic time-series with The Point-based Sonar Signal Model (PoSSM) 17,18 . The SAS sensor described by Bellettini 19 and Pinto 20 was modeled with representative acoustic signal, transmit and receive beampatterns, and array spacing. The acoustic time series were coherently reconstructed into synthetic aperture imagery with standard techniques 21,22 to create 50m along-track by 40-150m slant range complex images.…”

Section: Acoustic Rendering and Image Reconstruction Techniquesmentioning

confidence: 99%

Content Generation for Sas Change Detection Simulations

JOHNSON

2024

International Conference on Underwater Acoustics 2024

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Section: Acoustic Rendering and Image Reconstruction Techniquesmentioning

confidence: 99%

Content Generation for Sas Change Detection Simulations

JOHNSON

2024

International Conference on Underwater Acoustics 2024

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“…6 Use of a directional source and/or receiver array can further mitigate the multipath reverberation in shallow water. 7 However, even with these mitigation measures in place, the residual reverberation can be problematic.…”

Section: Introductionmentioning

confidence: 99%

Sonar target enhancement by shrinkage of incoherent wavelet coefficients

Hunter

Vossen

2014

The Journal of the Acoustical Society of America

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Background reverberation can obscure useful features of the target echo response in broadband low-frequency sonar images, adversely affecting detection and classification performance. This paper describes a resolution and phase-preserving means of separating the target response from the background reverberation noise using a coherence-based wavelet shrinkage method proposed recently for de-noising magnetic resonance images. The algorithm weights the image wavelet coefficients in proportion to their coherence between different looks under the assumption that the target response is more coherent than the background. The algorithm is demonstrated successfully on experimental synthetic aperture sonar data from a broadband low-frequency sonar developed for buried object detection.

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“…Active electrosense systems complement existing technologies, such as acoustic and visual sensing (Cowen et al, 1997; Smith et al, 1999; Jaffré et al, 2005; Singh et al, 2007; Yoerger et al, 2007; Hollinger et al, 2013), and address the need for better short range sensors for cluttered and turbid underwater conditions (MacIver et al, 2004), such as the Deepwater Horizon disaster (Kinsey et al, 2011). Active electrosense works well in confined spaces where sonar can suffer from multipath reflections that can make interpretation of signals difficult when the sensor is near to boundaries (Pinto et al., 2004; Davis et al, 2009). Work on this approach also furthers our understanding of the fundamental mechanisms used by the electric fish, which is a leading model system within neuroscience for understanding the mechanisms of sensory signal processing in animals.…”

Section: Introductionmentioning

confidence: 99%

Finding and identifying simple objects underwater with active electrosense

Bai

Snyder

Peshkin

et al. 2015

The International Journal of Robotics Research

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Active electrosense is used by some fish for the sensing of nearby objects by means of the perturbations the objects induce in a self-generated electric field. As with echolocation (sensing via perturbations of an emitted acoustic field) active electrosense is particularly useful in environments where darkness, clutter or turbidity makes vision ineffective. Work on engineered variants of active electrosense is motivated by the need for sensors in underwater systems that function well at short range and where vision-based approaches can be problematic, as well as to aid in understanding the computational principles of biological active electrosense. Prior work in robotic active electrosense has focused on tracking and localization of spherical objects. In this study, we present an algorithm for estimating the size, shape, orientation, and location of ellipsoidal objects, along with experimental results. The algorithm is implemented in a robotic active electrosense system whose basic approach is similar to biological active electrosense systems, including the use of movement as part of sensing. At a range up to '20 cm, or about half the length of the robot, the algorithm localizes spheroids that are one-tenth the length of the robot with accuracy of better than 1 cm for position and 5°in orientation. The algorithm estimates object size and length-to-width ratio with an accuracy of around 10%.

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A New Synthetic Aperture Sonar Design with Multipath Mitigation

Cited by 10 publications

References 3 publications

Content Generation for Sas Change Detection Simulations

Content Generation for Sas Change Detection Simulations

Sonar target enhancement by shrinkage of incoherent wavelet coefficients

Finding and identifying simple objects underwater with active electrosense

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