IEEE Journal of Oceanic Engineering最新文献_第7页

Marine Hydrokinetic Farm Optimization for Coaxial Dual-Rotor Turbines 同轴双转子涡轮机的海洋动水电场优化

IF 3.8 2区工程技术

IEEE Journal of Oceanic Engineering Pub Date : 2024-07-22 DOI: 10.1109/JOE.2024.3393538

Mehedi Hassan;Matthew Bryant;Andre Mazzoleni;Praveen Ramaprabhu;Kenneth Granlund

{"title":"Marine Hydrokinetic Farm Optimization for Coaxial Dual-Rotor Turbines","authors":"Mehedi Hassan;Matthew Bryant;Andre Mazzoleni;Praveen Ramaprabhu;Kenneth Granlund","doi":"10.1109/JOE.2024.3393538","DOIUrl":"10.1109/JOE.2024.3393538","url":null,"abstract":"This article focuses on the optimization of marine hydrokinetic farms of coaxial dual-rotor turbines with wake interaction. To perform the optimization, we introduce a new analytical wake model for this turbine configuration and validate it herein. The proposed model predicts the wake velocity deficit in the near- and far-wake of the turbine in terms of the diameters and axial induction factors of the upstream and downstream rotors and the location of the near-wake boundary. It is derived by utilizing mass- and momentum balancing in the near- and far-wake control volumes, supplemented by the application of Bernoulli's principle along pertinent streamlines. The analytical prediction is compared with computational simulation results for different flow conditions to find good agreement between them. The optimization problem is solved by the implementation of a genetic algorithm, which is developed based on the wake model. The algorithm maximizes farm efficiency by minimizing the wake interactions among the turbines. The influence of different parameters of the algorithm on its overall performance and efficiency is investigated to discover that a perfect integration among the parameters is essential for a successful search. Eventually, three different cases are studied with different farm sizes, numbers of cells in farm layouts, and aspect ratios of the farm at each of the flow conditions to illustrate the functionality and robustness of the algorithm that is based on the proposed wake model. The optimization results will be useful for the assessment of the hydrokinetic power potential of such turbine configurations in an ocean or riverine current.","PeriodicalId":13191,"journal":{"name":"IEEE Journal of Oceanic Engineering","volume":"49 4","pages":"1411-1429"},"PeriodicalIF":3.8,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141777524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Conventional Beamforming Algorithm Based on Polarization Filtering for an Acoustic Vector-Sensor Linear Array Mounted Near a Baffle 基于偏振滤波的传统波束成形算法，适用于安装在挡板附近的声学矢量传感器线性阵列

IF 3.8 2区工程技术

IEEE Journal of Oceanic Engineering Pub Date : 2024-07-22 DOI: 10.1109/JOE.2024.3408888

Hongyue Chen;Zhongrui Zhu;Desen Yang

{"title":"Conventional Beamforming Algorithm Based on Polarization Filtering for an Acoustic Vector-Sensor Linear Array Mounted Near a Baffle","authors":"Hongyue Chen;Zhongrui Zhu;Desen Yang","doi":"10.1109/JOE.2024.3408888","DOIUrl":"10.1109/JOE.2024.3408888","url":null,"abstract":"We investigate the beamforming method for detecting signals and estimating their directions of arrival for an acoustic vector-sensor linear array mounted near a baffle. The array-measurement model is established based on the baffle reflection coefficient, which is calculated using transfer matrices and matched boundary conditions. Herein, we propose a conventional beamforming (CBF) algorithm based on polarization filtering. First, the CBF output is directly decomposed into a sum of polarization monochromatic signals by the quaternion Fourier transform. Next, polarization filtering is conducted on each monochromatic signal and is regarded as a postprocessor to the CBF algorithm. This filtering in the polarization domain can improve the signal-to-noise ratio of the CBF algorithm. The proposed algorithm produces a lower noise level than the CBF algorithm. Moreover, the performance of this algorithm is related to the degree of polarization of the noise, and the best performance is obtained as the degree of polarization approaches zero. In this study, the performance of the proposed algorithm is evaluated by simulations and experiments.","PeriodicalId":13191,"journal":{"name":"IEEE Journal of Oceanic Engineering","volume":"49 4","pages":"1127-1139"},"PeriodicalIF":3.8,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141777546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fourier-Domain Wavefield Rendering for Rapid Simulation of Synthetic Aperture Sonar Data 用于快速模拟合成孔径声纳数据的傅立叶域波场渲染技术

IF 3.8 2区工程技术

IEEE Journal of Oceanic Engineering Pub Date : 2024-07-22 DOI: 10.1109/JOE.2024.3401968

Ciaran J. Sanford;Benjamin W. Thomas;Alan J. Hunter

引用次数: 0

Robust and Flexible Maritime ISAR Tracking Algorithm for Multiple Maneuvering Extended Vessels in Heavy-Tailed Clutter Using Skewed Multiple Model MB-Sub-RMM-TBD Filter 利用偏斜多模型 MB-Sub-RMM-TBD 滤波器，为重尾杂波中的多艘机动延伸船提供稳健灵活的海事 ISAR 跟踪算法

IF 3.8 2区工程技术

IEEE Journal of Oceanic Engineering Pub Date : 2024-07-22 DOI: 10.1109/JOE.2024.3386227

Mohamed Barbary;Mohamed H. Abd ElAzeem

{"title":"Robust and Flexible Maritime ISAR Tracking Algorithm for Multiple Maneuvering Extended Vessels in Heavy-Tailed Clutter Using Skewed Multiple Model MB-Sub-RMM-TBD Filter","authors":"Mohamed Barbary;Mohamed H. Abd ElAzeem","doi":"10.1109/JOE.2024.3386227","DOIUrl":"10.1109/JOE.2024.3386227","url":null,"abstract":"This article presents the application of a track before detect (TBD) technique for multiple extended object tracking (EOT) in a heavy-tailed cluttered environment using a high-resolution marine inverse synthetic aperture radar system. In high sea states, the ship EOTs make complex maneuvering motions due to strong disturbances, such as sea waves and sea winds. In this work, we utilize emergent maneuvering EOT (M-EOT) methodologies in real-time scenarios based on the popular multi-Bernoulli (MB)-TBD filter, and in particular, we describe the ship M-EOT's state through the subrandom matrices model (sub-RMM). In sub-RMM, scatter centers are distributed symmetrically around the M-EOT's centroid. However, in the ship M-EOT scenario, the distribution over the whole object is not symmetrical, but distributed and skewed in some portions while a target maneuvers. To solve this problem, a novel robustness observation model is represented using a nonsymmetrically skewed normal distribution and multiple model MB-TBD with more than one ellipse. Simulation and experimental results illustrate that the proposed filter outperforms the existing filters for M-EOTs.","PeriodicalId":13191,"journal":{"name":"IEEE Journal of Oceanic Engineering","volume":"49 4","pages":"1233-1264"},"PeriodicalIF":3.8,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141777547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Robust Graph-Based Bathymetric Simultaneous Localization and Mapping Approach for AUVs 基于鲁棒图的自动潜航器测深同步定位和绘图方法

IF 3.8 2区工程技术

IEEE Journal of Oceanic Engineering Pub Date : 2024-06-20 DOI: 10.1109/JOE.2024.3401969

Dalong Zhang;Shuai Chang;Guoji Zou;Chengcheng Wan;Hui Li

{"title":"A Robust Graph-Based Bathymetric Simultaneous Localization and Mapping Approach for AUVs","authors":"Dalong Zhang;Shuai Chang;Guoji Zou;Chengcheng Wan;Hui Li","doi":"10.1109/JOE.2024.3401969","DOIUrl":"10.1109/JOE.2024.3401969","url":null,"abstract":"Due to the position drift of inertial navigation systems, it is still challenging to achieve long-term and accurate position estimates during underwater navigation. The seabed topography has been proven to be effective in aiding information for accurate positioning benefiting from its rich spatial variation. With the advantage of the multibeam echosounder (MBES) in efficient bathymetric survey, the simultaneous localization and mapping (SLAM) approach can be performed using bathymetric data in unknown environments for underwater vehicles to get good position estimates. The SLAM performance relies on the number and accuracy of loop closures heavily. Thereby, the capabilities of the data association method and solver in dealing with the uncertainties of vehicle pose estimates, bathymetric data, and topographic features affect the SLAM performance strongly. This work proposes a new graph-based bathymetric SLAM method to improve the robustness of the uncertainties in both factor-graph construction and optimization stages. In the front end, on the base of a matching suitability-based MBES submap construction method, a dual-stage bathymetric point cloud registration approach that is able to detect most false loop closures is proposed. In the back end, a robust optimizer based on Frechet distance is introduced to further identify and remove the false loop closures missed in front end. Experiments using field MBES bathymetric data sets are conducted to verify the effectiveness of the proposed approach.","PeriodicalId":13191,"journal":{"name":"IEEE Journal of Oceanic Engineering","volume":"49 4","pages":"1350-1370"},"PeriodicalIF":3.8,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141507577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimating Scattering Patch Area for a Direction Finding HF Radar 估算测向高频雷达的散射斑面积

IF 3.8 2区工程技术

IEEE Journal of Oceanic Engineering Pub Date : 2024-06-20 DOI: 10.1109/JOE.2024.3388101

Brian M. Emery;Anthony Kirincich

{"title":"Estimating Scattering Patch Area for a Direction Finding HF Radar","authors":"Brian M. Emery;Anthony Kirincich","doi":"10.1109/JOE.2024.3388101","DOIUrl":"10.1109/JOE.2024.3388101","url":null,"abstract":"We use the radar equation along with in situ observations of Bragg-resonant ocean waves to estimate the scattering patch area for each radial velocity observation from a direction finding high frequency (HF) radar operating at 13 Mhz. Estimated areas for range cells 2–10 (3–15 km) vary from less than 1 km\u0000<inline-formula><tex-math>$^{2}$</tex-math></inline-formula>\u0000 to more than 10 km\u0000<inline-formula><tex-math>$^{2}$</tex-math></inline-formula>\u0000, with a mean of 2.5 km\u0000<inline-formula><tex-math>$^{2}$</tex-math></inline-formula>\u0000 and standard deviation of 2.3 km\u0000<inline-formula><tex-math>$^{2}$</tex-math></inline-formula>\u0000. Assuming a 1.8 km effective range cell width, and given the known ranges, these are approximately equivalent to a mean angular width of 8.5\u0000<inline-formula><tex-math>$^text{o}$</tex-math></inline-formula>\u0000, and a standard deviation of 10.0\u0000<inline-formula><tex-math>$^{circ }$</tex-math></inline-formula>\u0000. The scattering patch areas follow a Weibull distribution, with scale and shape parameters 2.5 and 1.2. Patch area uncertainties, expressed as a percentage of the patch area, average 36%, with most below 50%. Knowledge of the scattering patch area could allow improved data combining methods (e.g., appropriate weighting or variable resolution totals), and improve the ability of HF radar networks to resolve small scale flows and eddies. Understanding the scattering patch size may also contribute to improved HF radar-based observations of coastal winds, as it plays a role in the relationship between wind speed and backscattered power.","PeriodicalId":13191,"journal":{"name":"IEEE Journal of Oceanic Engineering","volume":"49 4","pages":"1199-1208"},"PeriodicalIF":3.8,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10565988","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141507575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing Generalization of Active Sonar Classification Using Semisupervised Anomaly Detection With Multisphere for Normal Data 利用针对正常数据的多球体半监督异常检测增强主动声纳分类的通用性

IF 3.8 2区工程技术

IEEE Journal of Oceanic Engineering Pub Date : 2024-06-20 DOI: 10.1109/JOE.2024.3402816

Geunhwan Kim;Youngmin Choo

{"title":"Enhancing Generalization of Active Sonar Classification Using Semisupervised Anomaly Detection With Multisphere for Normal Data","authors":"Geunhwan Kim;Youngmin Choo","doi":"10.1109/JOE.2024.3402816","DOIUrl":"10.1109/JOE.2024.3402816","url":null,"abstract":"Anomaly detection is suitable for active sonar classification due to its ability to handle the challenges posed by small imbalanced data sets. Recently, a modified anomaly detection approach called bisphere anomaly detection (BiSAD) has been developed for active sonar classification and has demonstrated improved generalization performance over conventional deep-learning-based methods. However, BiSAD has some limitations: multimodalities of clutter distribution induce unnecessary redundancy in the clutter manifold, and the inconsistency of two encoder outputs causes instability during learning. We propose a modified version of BiSAD called multisphere anomaly detection (MulSAD), which incorporates clustering and regularization. Clustering is used to model the multimodal distribution of the clutter samples, whereas regularization ensures consistency in the manifold learning of the two encoders. Two active sonar data sets generated in two different ocean experiments with different environments are used alternatively as the training/validation and test data sets. The efficacy of the modifications is confirmed by analyzing the classification performance according to hyperparameters. In the generalization test, MulSAD outperforms both the supervised-learning-based deep learning methods and BiSAD. Furthermore, MulSAD is more robust to mislabeled data samples in the training data sets.","PeriodicalId":13191,"journal":{"name":"IEEE Journal of Oceanic Engineering","volume":"49 4","pages":"1530-1548"},"PeriodicalIF":3.8,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141507576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robust Detection for Mills Cross Sonar 米尔十字声纳的鲁棒检测

IF 3.8 2区工程技术

IEEE Journal of Oceanic Engineering Pub Date : 2024-06-11 DOI: 10.1109/JOE.2024.3374958

Olivier Lerda;Ammar Mian;Guillaume Ginolhac;Jean-Philippe Ovarlez;Didier Charlot

引用次数: 0

Improved Adaptive High-Order Sliding Mode-Based Control for Trajectory Tracking of Autonomous Underwater Vehicles 基于自适应高阶滑模的改进型控制，用于自主潜水器的轨迹跟踪

IF 3.8 2区工程技术

IEEE Journal of Oceanic Engineering Pub Date : 2024-06-07 DOI: 10.1109/JOE.2024.3381391

Jesus Guerrero;Ahmed Chemori;Vincent Creuze;Jorge Torres

引用次数: 0

An Efficient Drifters Deployment Strategy to Evaluate Water Current Velocity Fields 评估水流速度场的高效漂流器部署策略

IF 3.8 2区工程技术

IEEE Journal of Oceanic Engineering Pub Date : 2024-06-04 DOI: 10.1109/JOE.2024.3369148

Murad Tukan;Eli Biton;Roee Diamant

{"title":"An Efficient Drifters Deployment Strategy to Evaluate Water Current Velocity Fields","authors":"Murad Tukan;Eli Biton;Roee Diamant","doi":"10.1109/JOE.2024.3369148","DOIUrl":"10.1109/JOE.2024.3369148","url":null,"abstract":"Water current prediction is essential for understanding ecosystems, and to shed light on the role of the ocean in the global climate context. Solutions vary from physical modeling, and long-term observations, to short-term measurements. In this article, we consider a common approach for water current prediction that uses Lagrangian floaters for water current prediction by interpolating the trajectory of the elements to reflect the velocity field. Here, an important aspect that has not been addressed before is where to initially deploy the drifting elements such that the acquired velocity field would efficiently represent the water current. To that end, we use a clustering approach that relies on a physical model of the velocity field. Our method segments the modeled map and determines the deployment locations as those that will lead the floaters to “visit” the center of the different segments. This way, we validate that the area covered by the floaters will capture the inhomogeneity of the velocity field. Exploration over a dataset of velocity field maps that span over a year demonstrates the applicability of our approach, and shows a considerable improvement over the common approach of uniformly randomly choosing the initial deployment sites. We share our Python implementation code for reproducibility in (Jubran et al., 2022).","PeriodicalId":13191,"journal":{"name":"IEEE Journal of Oceanic Engineering","volume":"49 4","pages":"1455-1471"},"PeriodicalIF":3.8,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141945753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0