Journal of South China University of Technology(Natural Science) >

2016 , Vol. 44 >Issue 1: 22 - 29

DOI: https://doi.org/10.3969/j.issn.1000-565X.2016.01.004

Electronics, Communication & Automation Technology

Multi-Frequency Transmitting Beamforming Algorithm Based on Cross Array

Expand
  • Institute of Advanced Digital Technology and Instrumentation//Zhejiang Provincial Key Laboratory for Network Multimedia Technologies,Hangzhou 310027,Zhejiang,China
刘雪松( 1988-) ，男，博士，主要从事嵌入式系统、声纳信号处理研究． E-mail: 11015006@ zju． edu． cn

Received date: 2015-04-21

  Revised date: 2015-07-28

  Online published: 2015-12-09

Supported by

Supported by the General Program of the National Natural Science Foundation of China( 41276090) and the National High-Tech R&D Program of China( 2014AA091301)

Fold

Abstract

In order to solve the problems of the huge hardware cost and computational load in underwater 3D acoustic imaging system,which is caused by the large number of elements in a receiving planar array,a multi-frequency transmitting beamforming algorithm is proposed for the real-time 3D acoustic imaging on the basis of cross array.In the algorithm,first,transmitting steering directions are subdivided into several sectors.In each sector,a series of fan-shaped beams with different frequencies are transmitted sequentially,and each beam is steered to a specific direction.Then,the number of transmissions is reduced from the number of beams to the number of sectors,thus shortening the scanning time.Simulation results and the analysis of computational load show that the proposed algorithm can obtain the same performance as the direct beamforming method on the basis of the receiving planar array and dramatically reduce both the transducer number and the computational load.Real underwater experiments demonstrate that the proposed algorithm can meet the real-time requirement in underwater 3D acoustic imaging applications.

Key words： real-time 3D acoustic imaging; multi-frequency transmitting; cross array; beamforming; computational requirement

Cite this article

LIU Xue-song ZHOU Fan ZHOU Hong TIAN Xiang JIANG Rong-xin CHEN Yao-wu . Multi-Frequency Transmitting Beamforming Algorithm Based on Cross Array[J]. Journal of South China University of Technology(Natural Science), 2016 , 44(1) : 22 -29 . DOI: 10.3969/j.issn.1000-565X.2016.01.004

References

[1]MURINO V, TRUCCO A. Three-dimensional image generation and processing in underwater acoustic vision [J]. Proceedings of the IEEE, 2000, 88(12): 1903–1948. [2]NEGAHDARIPOUR S, MADJIDI H. Stereovision imaging on submersible platforms for 3-D mapping of benthic habitats and sea-floor structures [J]. IEEE Journal of Oceanic Engineering, 2003, 28(4): 625–650. [3]PALMESE M, TRUCCO A. From 3-D sonar images to augmented reality models for objects buried on the seafloor [J]. IEEE Transactions on Instrumentation and Measurement, 2008, 57 (4): 820-828. [4]WACHOWSKI N, AZIMI-SADJADI M R. A New synthetic aperture sonar processing method using coherence analysis [J]. IEEE Journal of Oceanic Engineering, 2011, 36(4): 665–678. [5]TRUCCO A, PALMESE M, REPETTO S. Devising an affordable sonar system for underwater 3-D vision [J] . IEEE Transactions on Instrumentation and Measurement, 2008, 57(10): 2348–2354. [6]TRUCCO A. Thinning and weighting of large planar arrays by simulated annealing [J]. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 1999, 46(2): 347–355. [7]PALMESE M, TRUCCO A. An efficient digital CZT beamforming design for near-Field 3-D sonar imaging [J]. IEEE Journal of Oceanic Engineering, 2010, 35(3): 584-594. [8]HAUPT R L. Thinned arrays using genetic algorithms [J]. IEEE Transactions on Antennas and Propagation, 1994, 42 (7): 993-999. [9]袁龙涛, 周凡, 陈耀武. 相控阵三维摄像声纳系统的稀疏阵列优化设计 [J]. 华南理工大学学报:自然科学版, 2013, 41(1), 29-37. YUAN Long-tao, ZHOU Fan, CHEN Yao-wu. Optimization design of sparse arrays for phased-array 3D imaging sonar systems [J]. Journal of South China University of Technology:Natural Science Edition, 2013, 41 (1): 29-37. [10]PALMESE M, TRUCCO A. Three-Dimensional acoustic imaging by chirp zeta transform digital beamforming [J]. IEEE Transactions on Instrumentation and Measurement, 2009, 58(7): 2080–2086. [11]韩业强, 田翔, 陈耀武. 采用分布式并行子阵波束形成的水下三维成像 [J]. 浙江大学学报:工学版, 2014, 48(2), 368-376. HAN Ye-qiang, TIAN Xiang, CHEN Yao-wu. Underwater 3D imaging by distributed and parallel subarray beamforming algorithm [J]. Journal of Zhejiang University:Engineering Science, 2014, 48(2): 368-376. [12]KARAMAN M, WYGANT I O, KHURI-YAKOB B T. Minimally redundant 2-D array designs for 3-D medical ultrasound imaging [J]. IEEE Transactions on Medical Imaging, 2009, 28(7): 1051–1061. [13]OKINO M, HIGASHI Y. Measurement of seabed topography by multibeam sonar using CFFT [J]. IEEE Journal of Oceanic Engineering, 1986, 11(4): 474–479. [14]AHMAD F, FRAZER G J, KASSAM A, et al. Design and implementation of near-field, wideband synthetic aperture beamformers [J]. IEEE Transactions on Aerospace and Electronic Systems, 2004, 40(1): 206–220. [15]NIELSEN R O. Sonar signal processing [M]. Boston, MA: Artech House, 1991.
Options
Outlines

/

〈 〉