Expansion of Field of View for Near-Field Fast Beamforming in 3-D Acoustic Imaging Based on the Optimized Subregion Approach

IF 3.8 2区 工程技术 Q1 ENGINEERING, CIVIL IEEE Journal of Oceanic Engineering Pub Date : 2024-11-14 DOI:10.1109/JOE.2024.3463839
Fei Wang;Xuesong Liu;Chenyi Lin;Xiang Gao;Boxuan Gu;Fan Zhou;Yaowu Chen
{"title":"Expansion of Field of View for Near-Field Fast Beamforming in 3-D Acoustic Imaging Based on the Optimized Subregion Approach","authors":"Fei Wang;Xuesong Liu;Chenyi Lin;Xiang Gao;Boxuan Gu;Fan Zhou;Yaowu Chen","doi":"10.1109/JOE.2024.3463839","DOIUrl":null,"url":null,"abstract":"Real-time underwater 3-D acoustic imaging employs various fast-beamforming methods that significantly reduce the computational cost. However, in the near-field region, these methods rely on a popular model based on the Fresnel approximation, which has a narrow field of view (FOV) boundary of approximately <inline-formula><tex-math>$26^\\circ$</tex-math></inline-formula>. The FOV of the near-field region is very limited compared with that of the far-field region. Therefore, in this study, an optimized subregion approach is proposed to eliminate the FOV limitation for fast beamforming to improve the FOV of the near-field region. First, the FOV is divided into subregions, and within each subregion, a linear approximation is adopted to simplify the time-delay expression, with the approximation error limited to a reasonable threshold. Furthermore, the least-squares method and coordinate rotation techniques are employed, and the FOV for each subregion is reshaped to an ideal shape. Subsequently, a nested nonuniform fast Fourier transform is proposed to implement fast beamforming, and subregions can be computed in parallel. The results demonstrate that the proposed approach overcomes the limited FOV that exists for near-field fast beamforming in 3-D acoustic imaging and has a computational complexity comparable with those of existing algorithms. In addition, this approach supports an irregular planar array and maintains a satisfactory performance.","PeriodicalId":13191,"journal":{"name":"IEEE Journal of Oceanic Engineering","volume":"50 1","pages":"61-72"},"PeriodicalIF":3.8000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal of Oceanic Engineering","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10753282/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0

Abstract

Real-time underwater 3-D acoustic imaging employs various fast-beamforming methods that significantly reduce the computational cost. However, in the near-field region, these methods rely on a popular model based on the Fresnel approximation, which has a narrow field of view (FOV) boundary of approximately $26^\circ$. The FOV of the near-field region is very limited compared with that of the far-field region. Therefore, in this study, an optimized subregion approach is proposed to eliminate the FOV limitation for fast beamforming to improve the FOV of the near-field region. First, the FOV is divided into subregions, and within each subregion, a linear approximation is adopted to simplify the time-delay expression, with the approximation error limited to a reasonable threshold. Furthermore, the least-squares method and coordinate rotation techniques are employed, and the FOV for each subregion is reshaped to an ideal shape. Subsequently, a nested nonuniform fast Fourier transform is proposed to implement fast beamforming, and subregions can be computed in parallel. The results demonstrate that the proposed approach overcomes the limited FOV that exists for near-field fast beamforming in 3-D acoustic imaging and has a computational complexity comparable with those of existing algorithms. In addition, this approach supports an irregular planar array and maintains a satisfactory performance.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于优化子区域方法的三维声成像近场快速波束形成视场扩展
实时水下三维声成像采用多种快速波束形成方法,大大降低了计算成本。然而,在近场区域,这些方法依赖于基于菲涅耳近似的流行模型,该模型的视场(FOV)边界约为$26^\circ$。与远场相比,近场的视场非常有限。因此,本研究提出了一种优化子区域方法,消除快速波束形成的视场限制,提高近场区域的视场。首先,将视场划分为子区域,在每个子区域内采用线性逼近简化时延表达式,并将逼近误差限制在合理的阈值内;利用最小二乘法和坐标旋转技术,对每个子区域的视场进行了理想形状的重构。随后,提出了一种嵌套的非均匀快速傅里叶变换来实现快速波束形成,并且可以并行计算子区域。结果表明,该方法克服了三维声成像中近场快速波束形成的视场限制,计算复杂度与现有算法相当。此外,该方法支持不规则平面阵列,并保持了令人满意的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
IEEE Journal of Oceanic Engineering
IEEE Journal of Oceanic Engineering 工程技术-工程:大洋
CiteScore
9.60
自引率
12.20%
发文量
86
审稿时长
12 months
期刊介绍: The IEEE Journal of Oceanic Engineering (ISSN 0364-9059) is the online-only quarterly publication of the IEEE Oceanic Engineering Society (IEEE OES). The scope of the Journal is the field of interest of the IEEE OES, which encompasses all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.
期刊最新文献
Table of Contents JOE Call for Papers - Special Issue on Maritime Informatics and Robotics: Advances from the IEEE Symposium on Maritime Informatics & Robotics JOE Call for Papers - Special Issue on the IEEE 2026 AUV Symposium Combined Texture Continuity and Correlation for Sidescan Sonar Heading Distortion Sea Surface Floating Small Target Detection Based on a Priori Feature Distribution and Multiscan Iteration
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1