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便携式三维成像声纳的非网格化稀疏阵列技术

Nongrid Sparse Array Technology for Portable 3D Imaging Sonar

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【作者】 赵冬冬刘雪松周凡陈耀武

【Author】 ZHAO Dongdong;LIU Xuesong;ZHOU Fan;CHEN Yaowu;Institute of Advanced Digital Technology and Instrumentation, Zhejiang University;Zhejiang Provincial Key Laboratory for Network Multimedia Technologies;National Key Laboratory of Industrial Control Technology, Zhejiang University;

【通讯作者】 刘雪松;

【机构】 浙江大学数字技术及仪器研究所浙江省网络多媒体技术研究重点实验室浙江大学工业控制技术国家重点实验室

【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.

【Abstract】 A nongrid sparse array optimization method was proposed to reduce the hardware cost of the portable 3 D 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.

【基金】 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)~~
  • 【文献出处】 华南理工大学学报(自然科学版) ,Journal of South China University of Technology(Natural Science Edition) , 编辑部邮箱 ,2019年02期
  • 【分类号】TB56
  • 【被引频次】1
  • 【下载频次】166
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