Pruned Distributed and Parallel Subarray Beamforming for 3-D Underwater Imaging With Fine-Grid Sparse Arrays

doi:10.1109/JOE.2021.3056705

CORC > 深海科学与工程研究所 > 中国科学院深海科学与工程研究所 > 深海工程技术部 > 深海信息技术研究室

	Pruned Distributed and Parallel Subarray Beamforming for 3-D Underwater Imaging With Fine-Grid Sparse Arrays
	Zhao, Dongdong 2; Chen, Peng 2; Hu, Yingtian 1; Liang, Ronghua ; Wang, Haixia 2; Guo, Xinxin 3
刊名	IEEE JOURNAL OF OCEANIC ENGINEERING
	2021-10-01
卷号	46 期号:4 页码:1356-1371
关键词	Array signal processing Imaging Planar arrays Indexes Genetic algorithms Hardware Transforms Acoustic imaging digital beamforming fine-grid sparse arrays pruned fast Fourier transform (FFT) real-time 3-D underwater imaging simulated annealing (SA) algorithm
ISSN号	0364-9059
DOI	10.1109/JOE.2021.3056705
英文摘要	The development of real-time 3-D underwater imaging systems with large planar arrays involves high hardware costs and great computational burden. This study proposes the concept of fine-grid sparse arrays and the pruned distributed and parallel subarray (P-DPS) beamforming algorithm to achieve 3-D narrowband underwater imaging systems with low complexity. Fine-grid sparse arrays refine traditional half-wavelength grids to improve the freedom of the sparse optimization process and reduce the number of active elements. However, grid refinement increases the computational load of conventional fast beamforming algorithms. To solve this problem, a new pruned fast Fourier transform is proposed to eliminate all the redundant operations in the P-DPS beamforming, which is suitable for fine-grid sparse arrays. The computational load of the P-DPS beamforming seldom increases with grid refinement. The validity of the proposed method is verified with a fine-grid sparse planar array designed in the study. The computational load is then analyzed and compared with those of other methods. Results show the notable improvements in array sparsity rate and computational efficiency relative to those in the literature.
资助项目	National Science Foundation of China[62001418] ; National Science Foundation of China[62005245] ; National Science Foundation of China[U1909203] ; National Science Foundation of China[62036009] ; Zhejiang Provincial Natural Science Foundation of China[LQ21F010011]
WOS关键词	PLANAR ARRAYS ; NEAR-FIELD ; DESIGN ; SYSTEM ; OPTIMIZATION
WOS研究方向	Engineering ; Oceanography
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000706820200022
资助机构	National Science Foundation of China ; Zhejiang Provincial Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.idsse.ac.cn/handle/183446/8841]
专题	深海工程技术部_深海信息技术研究室
通讯作者	Chen, Peng
作者单位	1.Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310023, Zhejiang, Peoples R China 2.Zhejiang Univ Technol, Coll Comp Sci & Technol, Hangzhou 310023, Zhejiang, Peoples R China 3.Chinese Acad Sci, Inst Deep Sea Sci & Engn, Sanya 572000, Hainan, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Dongdong,Chen, Peng,Hu, Yingtian,et al. Pruned Distributed and Parallel Subarray Beamforming for 3-D Underwater Imaging With Fine-Grid Sparse Arrays[J]. IEEE JOURNAL OF OCEANIC ENGINEERING,2021,46(4):1356-1371.
APA	Zhao, Dongdong,Chen, Peng,Hu, Yingtian,Liang, Ronghua,Wang, Haixia,&Guo, Xinxin.(2021).Pruned Distributed and Parallel Subarray Beamforming for 3-D Underwater Imaging With Fine-Grid Sparse Arrays.IEEE JOURNAL OF OCEANIC ENGINEERING,46(4),1356-1371.
MLA	Zhao, Dongdong,et al."Pruned Distributed and Parallel Subarray Beamforming for 3-D Underwater Imaging With Fine-Grid Sparse Arrays".IEEE JOURNAL OF OCEANIC ENGINEERING 46.4(2021):1356-1371.