华南理工大学学报(自然科学版) ›› 2019, Vol. 47 ›› Issue (2): 24-30.doi: 10.12141/j.issn.1000-565X.180315

• 电子、通信与自动控制 • 上一篇    下一篇

便携式三维成像声纳的非网格化稀疏阵列技术

赵冬冬1, 2 刘雪松1, 2† 周凡1, 2, 3 陈耀武1, 2, 3   

  1. 1. 浙江大学 数字技术及仪器研究所,浙江 杭州 310027; 2. 浙江省网络多媒体技术研究重点实验室,浙江 杭州 310027; 3. 浙江大学 工业控制技术国家重点实验室,浙江 杭州 310027
  • 收稿日期:2018-06-20 修回日期:2018-09-20 出版日期:2019-02-25 发布日期:2019-01-02
  • 通信作者: 刘雪松( 1988-) ,男,讲师,主要从事嵌入式系统、声纳信号处理研究. E-mail:11015006@zju.edu.cn
  • 作者简介:赵冬冬( 1990-) ,男,博士生,主要从事声纳信号处理、阵列优化设计研究.
  • 基金资助:
    国家自然科学基金面上项目( 41276090) ; 工业控制技术国家重点实验室开放课题( ICT1810) ; 浙江大学中央高 校基本科研业务费专项资金资助项目( 2018FZA5017)

Nongrid Sparse Array Technology for Portable 3D Imaging Sonar
 

 ZHAO Dongdong1, 2 LIU Xuesong1, 2 ZHOU Fan1, 2, 3 CHEN Yaowu1, 2, 3   

  1.  1. Institute of Advanced Digital Technology and Instrumentation,Zhejiang University,Hangzhou 310027,Zhejiang,China; 2. Zhejiang Provincial Key Laboratory for Network Multimedia Technologies,Hangzhou 310027,Zhejiang,China; 3. National Key Laboratory of Industrial Control Technology,Zhejiang University,Hangzhou 310027,Zhejiang,China
  • Received:2018-06-20 Revised:2018-09-20 Online:2019-02-25 Published:2019-01-02
  • Contact: 刘雪松( 1988-) ,男,讲师,主要从事嵌入式系统、声纳信号处理研究. E-mail:11015006@zju.edu.cn
  • About author:赵冬冬( 1990-) ,男,博士生,主要从事声纳信号处理、阵列优化设计研究.
  • Supported by:
     Supported by the General Program of the National Natural Science Foundation of China( 41276090) and the Open Research Project of the Stated Key Laboratory of Industrial Control Technology( ICT1810) 

摘要: 为降低便携式三维成像声纳系统的硬件开销,同时保证阵列的波束性能,提出了 一种非网格化阵列稀疏方法. 该方法基于十字型阵列,在模拟退火算法中加入阵元位置扰 动,以实现对十字型阵列的非网格稀疏优化,降低阵元数量; 引入多频发射和并行子阵接 收波束形成算法,构建模拟退火算法中新的能量函数,以保证十字型稀疏阵列具有成像实 时性以及较低的计算需求. 最后利用该方法对 100 + 100 的十字型阵列进行稀疏优化. 实 验结果表明,该方法获得的非网格化稀疏阵列能够获得预设的波束性能,并具有成像的实 时性和较低的计算需求;与现有文献相比,在保持相同波束性能的条件下,该稀疏阵列具 有最少的阵元数量. 

关键词: 成像声纳, 传感器阵列, 模拟退火, 波束形成 

Abstract: 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 element 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 multiplefrequency 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 realtime 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 realtime 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 performances. 

Key words:  imaging sonars, sensor arrays, simulated annealing, beamforming

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