{"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.
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.