Nongrid Sparse Array Technology for Portable 3D Imaging Sonar

被引：0
|
作者：
Zhao D. [1 ,2 ]
Liu X. [1 ,2 ]
Zhou F. [1 ,2 ,3 ]
Chen Y. [1 ,2 ,3 ]
机构：
[1] Institute of Advanced Digital Technology and Instrumentation, Zhejiang University, Hangzhou, 310027, Zhejiang
[2] Zhejiang Provincial Key Laboratory for Network Multimedia Technologies, Hangzhou, 310027, Zhejiang
[3] National Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027, Zhejiang
来源：
Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science) | 2019年 / 47卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Beamforming; Imaging sonars; Sensor arrays; Simulated annealing;
D O I：
10.12141/j.issn.1000-565X.180315
中图分类号：
学科分类号：
摘要：
A nongrid sparse array optimization method was proposed to reduce the hardware cost of the portable 3D imaging sonar system and guarantee the performance of beam pattern of the array. Based on the cross array, the ele-ment position perturbation was introduced into the simulation annealing (SA) algorithm to achieve the nongrid sparse optimization for the cross array and decrease the element number. Based on multiple-frequency transmitting beamforming and parallel subarray receiving beamforming algorithms, a new energy function for the SA algorithm was defined to make the sparse cross array has a real-time imaging property and lower computational requirement. Finally, the proposed method was employed to optimize a cross array with 100+100 elements. The experiment results demonstrate that the nongrid sparse array obtained by the proposed method can achieve the presupposed beam pattern performance and own real-time imaging property and low computational requirements. Compared with the existing literature, the sparse array has the fewest active elements while maintaining the same beam pattern perfor-mances. © 2019, Editorial Department, Journal of South China University of Technology. All right reserved.
引用
收藏
页码：24 / 30
页数：6
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