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The Impact of the Spatial Variability of the Seafloor on Midfrequency Sound Propagation During the Target and Reverberation Experiment 2013 IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-03-14 Brian T. Hefner, Dajun Tang, William S. Hodgkiss
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Sonar Image Generation by MFA-CycleGAN for Boosting Underwater Object Detection of AUVs IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-03-13 Jianqun Zhou, Yang Li, Hongmao Qin, Pengwen Dai, Zilong Zhao, Manjiang Hu
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Characterization of the Terra Nova Bay Polynya Using Dual-Polarimetric C-Band SAR Measurements IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-03-13 Giovanna Inserra, Andrea Buono, Ferdinando Nunziata, Maurizio Migliaccio, Flavio Parmiggiani, Giuseppe Aulicino
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ADRC-Based Underwater Navigation Control and Parameter Tuning of an Amphibious Multirotor Vehicle IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-03-11 Zhongguang Li, Shuang Liang, Mingming Guo, Hua Zhang, Heng Wang, Zebin Li, Haoyang Li
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Analysis and Suppression of Range-Domain Periodic Interference in High-Frequency FMICW Radar IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-03-08 Shuqin He, Liyun Bai, Hao Zhou, Yingwei Tian, Da Huang, Caijun Wang, Jing Yang
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Blurriness-Guided Underwater Salient Object Detection and Data Augmentation IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-03-05 Yan-Tsung Peng, Yu-Cheng Lin, Wen-Yi Peng, Chen-Yu Liu
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Data Rate Performance of Mobile Multiuser MIMO Underwater Acoustic Communication Systems IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-02-27 Antony Pottier, Pierre-Jean Bouvet, Beatrice Tomasi, Charles Vanwynsberghe
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Adaptive Zigzag Mapping of a Patchy Field by a Long-Range Autonomous Underwater Vehicle IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-02-20 Yanwu Zhang, Brett W. Hobson, Brian Kieft, Michael A. Godin, Thomas Ravens, Michael Ulmgren
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Wave Energy Converter Power Take-Off Modeling and Validation From Experimental Bench Tests IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-02-15 Simone Giorgi, Ryan G. Coe, Meagan M. Reasoner, Giorgio Bacelli, Dominic D. Forbush, Scott Jensen, François Cazenave, Andrew Hamilton
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Probability-Based Complex-Valued Fast Iterative Shrinkage-Thresholding Algorithm for Deconvolution Beamforming IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-02-15 Shiyao Jiang, Rongxin Jiang, Xuesong Liu, Boxuan Gu, Yaowu Chen
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Prior-Based Underwater Enhanced Image Quality Assessment Network IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-02-15 Zheyin Wang, Liquan Shen, Zhengyong Wang, Yufei Lin, Jinbo Chen
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Analysis and Compensation of Acoustic Rolling Shutter Effect of Acoustic-Lens-Based Forward-Looking Sonar IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-02-14 Jiayi Su, Jingyu Qian, Xingbin Tu, Fengzhong Qu, Yan Wei
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Editorial Farewell From Your Outgoing EiC IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-02-08 Mandar Chitre
I started my term as Editor-in-Chief (EiC) of the IEEE Journal of Oceanic Engineering in January 2018. It has been a great privilege to have had the opportunity to serve this research community for the past six years, but it is now time to say farewell. When I started my term, I knew very little of what to expect. It has indeed been an interesting learning journey for me, and a rewarding one. I have
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Editorial Hello From Your New EiC IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-02-08 Karl von Ellenrieder
The IEEE Journal of Oceanic Engineering has long played a key role in influencing, furthering, and sustaining new research, not only because of its high technical standards and strong scientific integrity, but because of its timeliness in addressing novel developments in a highly multidisciplinary field. Like many others in the oceanic engineering community, I am proud to consider it my technical home
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Editorial Presenting Abstracts of Accepted/Published JOE Papers at MTS/IEEE OCEANS Conferences IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-02-08 Karl von Ellenrieder
The OCEANS Conferences are the flagship conferences of the IEEE Oceanic Engineering Society. The IEEE Journal of Oceanic Engineering (JOE) has long encouraged OCEANS authors to develop their short conference papers into significantly longer journal articles with the inclusion of additional novel results, and by expanding them to be more comprehensive. For information about how to do this, I encourage
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Guest Editorial: Introduction to the Special Issue on Advanced Machine Learning Methodologies for Underwater Image and Video Processing and Analysis IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-02-08 Chongyi Li, Haiyong Zheng, Runmin Cong, Saeed Anwar, Sam Kwong
In the realm of ocean engineering, underwater images and videos serve as vital carriers of information. However, the challenging conditions of underwater imaging often lead to quality degradation in captured content. These degradations, encompassing issues, such as diminished contrast, color casts, blurred details, and uneven brightness, not only hinder human perception but also present formidable
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Transmission of High-Definition Video Signals and Detection of the Objects Underwater Using Surface Electromagnetic Waves IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-02-09 Igor I. Smolyaninov, Quirino Balzano, Mark Barry
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On the Physical Layer Security of Underwater Optical Wireless Communication Networks IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-02-06 Elmehdi Illi, Marwa Qaraqe
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Experimental Study on Underwater Cylindrical Acoustic Wave Generated by High-Voltage Pulse Excited Cable IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-02-02 Linwei Li, Jianglong Zheng, Jinxing Xie, Xiaoxin Huang, Biao Jiang, Yunge Zhang, Yifan Huang
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Temporal Correlation and Message-Passing-Based Sparse Bayesian Learning Channel Estimation for Underwater Acoustic Communications IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-01-31 Jingwei Yin, Guangjun Zhu, Xiao Han, Longxiang Guo, Lin Li, Wei Ge
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Discrete Vortex Method-Based Fish-Like Locomotion Modeling IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-01-17 Qianqian Zou, Chao Zhou, Chunhui Zhu, Zhuoliang Zhang, Junfeng Fan
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Receiver Enhancement for Differentially Encoded Underwater Acoustic OFDM Incorporating Amplitude and Phase Mismatches IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-01-17 Lei Wan, Ming Zhao
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Vector-Approximate-Message-Passing-Based Channel Estimation for MIMO-OFDM Underwater Acoustic Communications IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-01-17 Wenxuan Chen, Jun Tao, Lu Ma, Gang Qiao
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Interference-Constrained Scheduling of a Cognitive Multihop Underwater Acoustic Network IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-01-17 Chen Peng, Urbashi Mitra
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Maximum Information Transfer and Minimum Loss Dehazing for Underwater Image Restoration IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-01-11 Fei Li, Xiaomao Li, Yan Peng, Bin Li, Yang Zhai
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Joint Equalization and Self-Interference Cancellation for Underwater Acoustic In-Band Full-Duplex Communication IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-01-11 Mohammad Towliat, Zheng Guo, Leonard J. Cimini, Xiang-Gen Xia, Aijun Song
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End-to-End Geoacoustic Inversion With Neural Networks in Shallow Water Using a Single Hydrophone IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-01-04 Ariel Vardi, Julien Bonnel
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Is Underwater Image Enhancement All Object Detectors Need? IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2024-01-02 Yudong Wang, Jichang Guo, Wanru He, Huan Gao, Huihui Yue, Zenan Zhang, Chongyi Li
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Automatic Geolocation and Measuring of Offshore Energy Infrastructure With Multimodal Satellite Data IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-11-17 Ping Ma, Malcolm Macdonald, Sally Rouse, Jinchang Ren
With the increasing trend of energy transition to low-carbon economies, the rate of offshore structure installation and removal will rapidly accelerate through offshore renewable energy development and oil and gas decommissioning. Knowledge of the location and size of offshore infrastructure is vital in the management of marine ecosystems and also for safe navigation at sea. The availability of multimodal
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Super Permutation Frequency-Shift-Keyed Underwater Acoustic Communication IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-11-16 Viktor Lidström
A method that defines the superset of $M$ ary permutation frequency-shift keying (SPFSK) alphabets as the symbol space is investigated as a possible robust data link for the underwater acoustic (UWA) channel. The alphabet is equivalent to on – off keying for ${M=1}$ . Polar coding and time/frequency guards are used for redundancy. The bit error probability of an SPFSK symbol is evaluated to construct
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CEWformer: A Transformer-Based Collaborative Network for Simultaneous Underwater Image Enhancement and Watermarking IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-11-09 Jun Wu, Ting Luo, Zhouyan He, Yang Song, Haiyong Xu, Li Li
Since the copyright of the enhanced underwater image should be protected, we propose a transformer-based collaborative network (CEWformer) for simultaneous underwater image enhancement and watermarking. In CEWformer, a channel self-attention transformer (CSAT) is deployed by mining channel correlations to enhance channels with severe color attenuation. To emphasize quality degradation and inconspicuous
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Oil Spill Timely Backtracking Oriented by Wind Field Correction With Self-Attention Temporal Convolutional Networks IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-11-09 Yongqing Li, Xinrong Lyu, Peng Ren
We investigate the problem of oil spill timely backtracking. Most existing methods for backtracking oil spills rely heavily on historical wind fields. However, during the crucial early stages of an oil spill accident, only inaccurate forecasted or observed wind fields are available as historical data, which do not guarantee reliable accuracy for backtracking the oil spills. On the other hand, reanalysis
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Seal-Inspired Underwater Glider With a Rigid-Flexible Composite Hull IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-10-23 Yuhong Liu, Huan Bai, Shihan Deng, Shuhe Liu, Shuxin Wang, Shiquan Lan, Xiaokang Li, Houcun Li, Zhijie Wang
It is difficult for traditional underwater gliders (UGs) equipped with rigid hulls to compensate for the buoyancy loss caused by seawater density variation and reduce the vibration noise. Inspired by the streamlined shape and soft body of seals, this article develops a bionic UG with appropriate buoyancy compensation and vibration and noise reduction. The seal-inspired underwater glider (SIUG) contains
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An Improved Experimental Framework of Amphibious Marine Vehicle Hull Hydrodynamics IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-10-17 James M. Shihua, Rhea P. Liem, Ye Li
With the increase of anthropogenic oceanic activities, a great number of innovative marine vehicles have been proposed and developed in the past few decades. Among these new vehicles, the amphibious marine vehicle is considered one of the most unique as it operates in air and water. This unique mode of operation necessitates simultaneous and coupled analyses of the aerodynamic and hydrodynamic performance
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HF Radar Real-Time Alert to a Tsunami-Like Disturbance at Tofino on January 5, 2020: Surge or Tsunami? IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-10-12 Mal Heron, Baptiste Domps, Charles-Antoine Guérin, Manman Wang, Leif Petersen
A real-time alert issued by a high frequency (HF) Wellen radar (WERA) at Tofino on January 5, 2020 was identified as a possible meteotsunami because of the anomalous surface currents. Reanalysis of the HF radar data and consideration of associated meteorological data from Global Forecast System North West Pacific forecasts, the GOES-17 weather satellite and the NDBC buoy at La Pérouse, indicate that
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Unsupervised Multiple Representation Disentanglement Framework for Improved Underwater Visual Perception IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-10-10 Pengli Zhu, Yancheng Liu, Minyi Xu, Xianping Fu, Ning Wang, Siyuan Liu
Visual perception is a key component for many underwater applications. However, visual imaging data typically suffer from different types of distortion, which seriously affect their security and reliability. Underwater image enhancement (UIE) is a crucial step to improve the perceptual quality of the environment. Recent deep learning techniques for UIE are predominantly supervised in nature and, hence
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Seismo-Acoustic Sensing on the Beaufort Sea in the 2021 Sea Ice Dynamics Experiment (SIDEx) IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-10-04 Erin M. Fischell, Caileigh Fitzgerald, Kevin Manganini, Rui Chen, Henrik Schmidt
The 2021 collaborative Sea Ice Dynamics Experiment (SIDEx'21) was conducted in March and April on an ice floe in the Beaufort Sea and included comprehensive instrumentation and measurement of the ice during the spring breakup. Part of this sensing suite was an extensive network of seismo-acoustic sensors deployed at a multiyear/first-year ice boundary with hydrophones under and geophones on top of
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Computer Vision for Bioacoustics: Detection of Bearded Seal Vocalizations in the Chukchi Shelf Using YOLOV5 IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-09-25 Christian Escobar-Amado, Mohsen Badiey, Lin Wan
Year-round recordings of bearded seal calls were collected in the northeastern edge of the Chukchi Continental Slope (Alaska, within the Arctic Circle) in 2016–2017, 2018–2019, and 2019–2020. While the underwater vocalizations of bearded seals are often analyzed manually or using automatic detections manually validated, in this article, a detection and classification system (DCS) based on the You Only
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Self-Adversarial Generative Adversarial Network for Underwater Image Enhancement IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-09-25 Haiwen Wang, Miao Yang, Ge Yin, Jinnai Dong
Generative adversarial network (GAN)-based underwater image enhancement methods improve image quality by encoding a raw image and an adversarial image with the corresponding high-quality version. Although these methods have recently attracted significant attention, the lack of referred clear underwater imagery forces GAN-based underwater image enhancement models to be trained with synthetic or enhanced
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Multi-USV System Antidisturbance Cooperative Searching Based on the Reinforcement Learning Method IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-09-25 Yuan Liu, Chao Chen, Dong Qu, Yuxuan Zhong, Huayan Pu, Jun Luo, Yan Peng, Jiajia Xie, Rui Zhou
The remarkable advantages of multiple unmanned surface vehicle (USV) systems for operational efficiency, accuracy, and robustness give them great application prospects in future maritime search missions. However, at this stage, reasonable mission models, efficient control methods, and effective verification have become the key problems that must be solved in the practical application of multi-USV systems
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Unsupervised Domain Adaptation for Source Localization Using Ships of Opportunity With a Deep Vertical Line Array IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-09-22 Yining Liu, Haiqiang Niu, Zhenglin Li, Duo Zhai
Deep-learning source localization methods trained on synthetic replicas calculated by acoustic propagation models (referred to as model-based source localization methods via deep learning) suffer from environmental mismatches between replicas and measurements, which degrade the localization performance. This article introduces deep transfer learning (DTL), specifically the unsupervised domain adaptation
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Optimally Distributed Receiver Placements Versus an Environmentally Aware Source: New England Shelf Break Acoustics Signals and Noise Experiment IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-09-15 William K. Stevens, Martin Siderius, Matthew J. Carrier, Drew Wendeborn
This article describes the results of the Spring of 2021 New England Shelf Break Acoustics (NESBA) Signals and Noise experiment as they pertain to the optimization of a field of passive receivers versus an environmentally aware source with end-state goals. A discrete optimization has been designed and used to demonstrate providing an acoustic system operator with actionable guidance relating to optimally
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Follow-the-Leader Guidance, Navigation, and Control of Surface Vessels: Design and Experiments IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-09-15 Benedetto Piaggio, Vittorio Garofano, Silvia Donnarumma, Angelo Alessandri, Rudy Negenborn, Michele Martelli
A novel follow-the-leader approach for azimuth-driven vessels is devised and experimentally tested in a model-scale outdoor scenario. The vessels are equipped with global navigation satellite and inertial navigation systems. A line-of-sight algorithm ensures the yaw-check ability of the follower vessel along the leader's path, while a speed-regulation allows to track its velocity. Track generation
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An Underwater Glider Fleet Coordinate Control Architecture for Ocean of Things to Enable Transparent Ocean IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-09-15 Runfeng Zhang, Yanhui Wang, Weiqiang Gao, Shaoqiong Yang
Ocean of Things (OoT) is a novel technology that integrates marine devices and the Internet of Things, which is the basis for realizing a transparent ocean. However, due to the uncertainty of the marine environment and the constraint of underwater communication, there are still some challenges to building OoT in a large area. Therefore, this article proposes an underwater glider (UG) fleet coordinate
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Enhancing Underwater Image via Color-Cast Correction and Luminance Fusion IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-09-13 Haofeng Hu, Shuping Xu, Yazhuo Zhao, Hongyi Chen, Shiyao Yang, Hedong Liu, Jingsheng Zhai, Xiaobo Li
Underwater images always suffer from color distortion, contrast decrease, and detail blur due to the selective absorption and scattering of water, which significantly limits their applications. In this article, we introduce an effective underwater image enhancement method to improve image quality, i.e., correcting color distortion, enhancing contrast, and enriching details. Specifically, we first use
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Transmit Beamforming for Underwater Acoustic OFDM Systems IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-09-13 Diego A. Cuji, Milica Stojanovic
This article addresses the problem of transmit beamforming for underwater acoustic communication systems within the framework of multicarrier signaling based on orthogonal frequency division multiplexing (OFDM). The system consists of a transmitter equipped with a uniform linear array and a single receiver. Transmit beamforming requires the transmitter to have complete knowledge of the channel to the
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Learning-Based Temporal Estimation of In-Situ Wind Speed From Underwater Passive Acoustics IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-08-24 Matteo Zambra, Dorian Cazau, Nicolas Farrugia, Alexandre Gensse, Sara Pensieri, Roberto Bozzano, Ronan Fablet
Wind speed retrieval at the sea surface is of primary importance for scientific and operational applications. Besides weather models, in-situ measurements and remote sensing technologies, especially satellite sensors, provide complementary means to monitor wind speed. As sea-surface winds produce sounds that propagate underwater, underwater acoustics recordings can also deliver fine-grained wind-related
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A Comparison of Two Methods for Simulating Spatial Coherence-Based Motion Estimation IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-08-24 Thomas E. Blanford, Daniel C. Brown, Richard J. Meyer
Sonar systems, such as correlation velocity logs and synthetic aperture sonars, may exploit the spatial coherence of seafloor scattering for navigation. Motion estimation algorithms find the ping-to-ping displacement within the plane of an array using the magnitude of the complex correlation coefficient as an estimator of spatial coherence. Simulation of these systems requires large amounts of spatially
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Combining DVL-INS and Laser-Based Loop Closures in a Batch Estimation Framework for Underwater Positioning IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-08-23 Amro Al-Baali, Thomas Hitchcox, James Richard Forbes
Correcting gradual position drift is a challenge in long-term subsea navigation. Though highly accurate, modern inertial navigation system (INS) estimates will drift over time due to the accumulated effects of sensor noise and biases, even with acoustic aiding from a Doppler velocity log (DVL). The raw sensor measurements and estimation algorithms used by the DVL-aided INS are often proprietary, which
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Autonomous Ship Collision Avoidance in Restricted Waterways Considering Maritime Navigation Rules IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-08-22 Yonghoon Cho, Jinwook Park, Jonghwi Kim, Jinwhan Kim
This article addresses autonomous collision avoidance in restricted waterways in compliance with maritime navigation rules. Since waterways may have diverse shapes, it is not straightforward to design a generic approach that can be applied to all types of waterways. In this article, we propose a shape-invariant coordinate system and a systematic collision avoidance procedure that complies with maritime
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Data-Aided Underwater Acoustic Ray Propagation Modeling IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-08-18 Kexin Li, Mandar Chitre
Acoustic propagation models are widely used in numerous oceanic and underwater applications. Most conventional models are approximate solutions of the acoustic wave equation, and require accurate environmental knowledge to be available beforehand. Environmental parameters may not always be easily or accurately measurable. While data-driven techniques might allow us to model acoustic propagation without
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Dynamic Positioning Using Model Predictive Control With Short-Term Wave Prediction IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-08-15 Henning Øveraas, Håkon S. Halvorsen, Olav Landstad, Vidar Smines, Tor Arne Johansen
Remotely operated vehicle (ROV) operations are today typically supported by large designated vessels. New emerging concepts aim to streamline ROV operations by utilizing unmanned surface vessels of a smaller size. Reduction in size may result in first-order wave induced motion being more significant. This motivates the use of dynamic positioning control using thrusters to actively compensate for first-order
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Reduced-Order Machine-Learning Model for Transmission Loss Prediction in Underwater Acoustics IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-08-15 Ryan A. McCarthy, Sophia T. Merrifield, Jit Sarkar, Eric J. Terrill
Autonomous underwater vehicles (AUVs) typically rely on underwater sound to communicate with sound channel physics defining communication performance. Current acoustic propagation models incorporate channel information and physics but are computationally expensive to run onboard an AUV. This work explores reduced-order proxies for these models through a machine-learning approach that can use in-situ
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Impact of Scattering on Secrecy Outage Probability of Underwater Optical Wireless Links IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-08-15 Rubén Boluda-Ruiz, Pedro Salcedo-Serrano, Beatriz Castillo-Vázquez, Antonio García-Zambrana, José María Garrido-Balsells
The analysis of physical layer security aspects in underwater optical wireless communication (UOWC) systems has attracted considerable attention in recent years due to the increasing need to transmit large and secure amounts of data. This article, therefore, performs a careful investigation of the secrecy outage probability (SOP) of UOWC systems over Weibull oceanic turbulence channels with angular
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Estimating the Motion Parameters of Sound Sources Using a Network of Compact Arrays IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-08-14 Ildar R. Urazghildiiev
In this article, the problem of employing passive acoustics to estimate the position, speed, and heading angle of a moving source using a network of underwater compact arrays is considered. Maximum-likelihood (ML) estimators using angle-of-arrival (AOA), time-difference-of-arrival (TDOA), and a combination of AOA/TDOA estimates are developed. The estimation accuracy provided by the AOA-based, TDOA-based
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Multicolor Light Attenuation Modeling for Underwater Image Restoration IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-08-14 Jingchun Zhou, Yanyun Wang, Chongyi Li, Weishi Zhang
The unique physical properties of underwater environments often lead to color distortion, reduced visibility, and loss of detail in underwater images. To address these challenges, we present a novel underwater image restoration technique, known as the multicolor components and light attenuation (MCLA) method. Initially, we introduce an adaptive background light estimation for underwater image restoration
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Underwater Multitarget Tracking Method Based on Threshold Segmentation IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-08-10 Tian Zhou, Yuqian Wang, Lihong Zhang, Baowei Chen, Xiaoyang Yu
The increasing development of underwater recording and processing systems has created a demand for automated methods that accurately detect and track small underwater targets in sonar images. However, precisely tracking such targets in underwater environments remains challenging. This article proposes an improved automated underwater multitarget tracking method integrating threshold segmentation with
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Adaptive Formation Motion Planning and Control of Autonomous Underwater Vehicles Using Deep Reinforcement Learning IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-08-09 Behnaz Hadi, Alireza Khosravi, Pouria Sarhadi
Creating safe paths in unknown and uncertain environments is a challenging aspect of leader–follower formation control. In this architecture, the leader moves toward the target by taking optimal actions, and followers should also avoid obstacles while maintaining their desired formation shape. Most of the studies in this field have inspected formation control and obstacle avoidance separately. This
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Estimating AUV Motion Using a Dual-Sided Synthetic Aperture Sonar IEEE J. Ocean. Eng. (IF 4.1) Pub Date : 2023-08-08 Shiping Chen, Cheng Chi, Pengfei Zhang, Peng Wang, Ruizhi Hu, Jiyuan Liu, Haining Huang
The navigation and localization of autonomous underwater vehicles (AUVs) in complex underwater environments are challenging. Synthetic aperture sonar (SAS) can provide a precise measurement of its platform motion. Single-sided micronavigation has been used to aid AUV navigation. However, the conventional time delay estimation method in the displaced phase center antenna algorithm is not adequately