Design considerations for a Compact Correlation Velocity Log

Blanford, Thomas E.; Brown, Daniel C.; Meyer, Richard J.

doi:10.1121/2.0000928

Cited by 8 publications

(2 citation statements)

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“…Aide transmission beampattern is of importance for sonar in several different applications. Some of these applications are Forward-Looking sonars (FLS) for obstacle avoidance [ 5 ], seabed mapping with side-scan sonars (SSS) [ 6 ], Synthetic Aperture sonar Systems (SAS) [ 7 ], and acoustic navigation aid using Compact Correlation Velocity Logs (CVLs) [ 8 ]. In its simplest form (delay-and-sum), the beamformer linearly combines spatially sampled time-series signals into a scalar output (a beampattern).…”

Section: Introductionmentioning

confidence: 99%

Optimization Method for Wide Beam Sonar Transmit Beamforming

Fuchs

Maki

Gällström³

2022

Sensors

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Imaging and mapping sonars such as forward-looking sonars (FLS) and side-scan sonars (SSS) are sensors frequently used onboard autonomous underwater vehicles. To acquire information from around the vehicle, it is desirable for these sonar systems to insonify a large area; thus, the sonar transmit beampattern should have a wide field of view. In this work, we study the problem of the optimization of wide transmission beampatterns. We consider the conventional phased-array beampattern design problem where all array elements transmit an identical waveform. The complex weight vector is adjusted to create the desired beampattern shape. In our experiments, we consider wide transmission beampatterns (≥20∘) with uniform output power. In this paper, we introduce a new iterative-convex optimization method for narrowband linear phased arrays and compare it to existing approaches for convex and concave–convex optimization. In the iterative-convex method, the phase of the weight parameters is allowed to be complex as in disciplined convex–concave programming (DCCP). Comparing the iterative-convex optimization method and DCCP to the standard convex optimization, we see that the former methods archive optimized beampatterns closer to the desired beampatterns. Furthermore, for the same number of iterations, the proposed iterative-convex method achieves optimized beampatterns, which are closer to the desired beampattern than the beampatterns achieved by optimization with DCCP.

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Section: Introductionmentioning

confidence: 99%

Optimization Method for Wide Beam Sonar Transmit Beamforming

Fuchs

Maki

Gällström³

2022

Sensors

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“…There is a growing demand for large-scale Synthetic Aperture Sonar (SAS) datasets. This demand stems from datadriven applications such as Automatic Target Recognition (ATR) [1]- [3], segmentation [4] and oceanographic research of the seafloor, simulation for sensor prototype development and calibration [5], and even potential higher level tasks such as motion estimation [6] and micronavigation [7]. Unfortunately, the acquisition of SAS data is bottlenecked by the costly deployment of SAS imaging systems, and even when data acquisition is possible, the data is often skewed towards containing barren seafloor rather than objects of interest.…”

Section: Introductionmentioning

confidence: 99%

Coupling Rendering and Generative Adversarial Networks for Artificial SAS Image Generation

Reed

Gerg

McKay

et al. 2019

Oceans 2019 MTS/Ieee Seattle

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A high‐resolution AUV navigation framework with integrated communication and tracking for under‐ice deployments

Randeni

Schneider

Bhatt

et al. 2022

Journal of Field Robotics

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We developed an environmentally adaptive under-ice navigation framework that was deployed in the Arctic Beaufort Sea during the United States Navy Ice Exercise in March 2020 (ICEX20). This navigation framework contained two subsystems developed from the ground up: (1) an on-board hydrodynamic model-aided navigation (HydroMAN) engine, and (2) an environmentally and acoustically adaptive integrated communication and navigation network (ICNN) that provided acoustic navigation aiding to the former. The HydroMAN synthesized measurements from an inertial navigation system (INS), ice-tracking Doppler velocity log (DVL), ICNN and pressure sensor into its self-calibrating vehicle flight dynamic model to compute the navigation solution. The ICNN system, which consisted of four ice buoys outfitted with acoustic modems, trilaterated the vehicle position using the one-way-traveltimes (OWTT) of acoustic datagrams transmitted by the autonomous underwater vehicle (AUV) and received by the ice buoy network. The ICNN digested salinity and temperature information to provide model-assisted real-time OWTT range conversion to deliver accurate acoustic navigation updates to the HydroMAN. To decouple the contributions from the HydroMAN and ICNN subsystems towards a stable navigation solution, this article evaluates them separately: (1) HydroMAN was compared against DVL bottom-track aided INS during pre-ICEX20 engineering trials where both systems provided similar accuracy; (2) ICNN was evaluated by conducting a static experiment in the Arctic where the ICNN navigation updates were compared against GPS with ICNN error within low tens of meters. The joint HydroMAN-ICNN framework was tested during ICEX20, which provided a nondiverging high-resolution navigation solution-with the majority of error below 15 m-that facilitated a successful AUV recovery through a small ice hole after an 11 km untethered run in the upper and mid-water column.

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Design considerations for a Compact Correlation Velocity Log

Cited by 8 publications

References 0 publications

Optimization Method for Wide Beam Sonar Transmit Beamforming

Optimization Method for Wide Beam Sonar Transmit Beamforming

Coupling Rendering and Generative Adversarial Networks for Artificial SAS Image Generation

A high‐resolution AUV navigation framework with integrated communication and tracking for under‐ice deployments

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