The Underwater Acoustic Image Measurement Based on Non-uniform Spatial Resampling RL Deconvolution
编号:44 访问权限:仅限参会人 更新:2020-08-05 10:17:00 浏览:386次 口头报告

报告开始:2020年06月09日 14:30(Asia/Shanghai)

报告时间:15min

所在会场:[R] Regular Session [R06] Machine Learning-Based Multi-channel Processing

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摘要
When the near-field underwater acoustic image measurement is carried out by the line array laid on the sea floor, the resolution of the conventional beamforming (CBF) acoustic image measurement method is poor, the sidelobe level is high, while the deconvolution algorithm has the effect of high resolution and low sidelobe. However, the direct deconvolution algorithm of the point spread function (PSF) shift-variant model has a large computational burden. This paper presents a non-uniform spatial resampling Richardson-Lucy (RL) fast algorithm, which based on energy distribution of conventional acoustic image measurement result make the original uniform space scanning to non-uniform spatial resampling. It can reduce the number of scanning grid, so as to reduce the amount of computation. Simulation results show that the fast RL algorithm can achieve the performance close to the original RL algorithm by reducing the computational amount by nearly an order of magnitude.
关键词
underwater passive acoustic image measurement; RL deconvolution; non-uniform spatial resampling; focused beamforming
报告人
Jidan Mei
Harbin Engineering University, China

稿件作者
Jidan Mei Harbin Engineering University, China
Yuqing Pei Harbin Engineering University, China
Chao Ma Harbin Engineering University, China
Yunfei Lv Harbin Engineering University, China
Qiuying Peng Harbin Engineering University, China
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重要日期
  • 会议日期

    06月08日

    2020

    06月11日

    2020

  • 01月12日 2020

    初稿截稿日期

  • 04月15日 2020

    提前注册日期

  • 12月31日 2020

    注册截止日期

主办单位
IEEE Signal Processing Society
承办单位
Zhejiang University
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