.png){kind=icon}
返回
Improving the Performance of a Vector Sensor Line Array by Deconvolution
.png){kind=icon}
PRE
AI
DOI：10.1109/JOE.2019.2912586.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Deconvolution applied to conventional beamforming (CBF) has been demonstrated for a uniform line array and circular array of hydrophones resulting in much improved performance than CBF. However, the existing Richardson-Lucy (R-L) method is limited to arrays with a shift-invariant beam pattern. An extended R-L deconvolution algorithm is proposed in this paper so that the deconvolved CBF can be applied to arrays with a shift-variant beam pattern, such as a vector sensor line array. The new extended R-L algorithm uses the predefined beam pattern from all steering angles to replace the shift of the point spread function. It is shown with both simulated and sea data that deconvolved beam power yields a narrower beamwidth, higher peak-to-sidelobe ratio, higher left/right suppression ratio, and higher directivity index or array gain than CBF. The extended R-L algorithm is shown to yield superior performance, particularly at low signal-to-noise ratios, compared with other deconvolution algorithms, and much less computation time for the same number of iterations, which are of practical importance.
Keyword:
Deconvolution
Sensor arrays
Array signal processing
Sonar equipment
Acoustic beams
Signal processing algorithms
Beamforming
deconvolution
shift-variant point spread function (PSF)
vector sensor array
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.3
论文数:
2.6K
被引数:
7.4K
机构
引用论文
分享收藏Improvement of sound source localization in a finite duct using beamforming methods.png)
APPLIED ACOUSTICS
APPLIED ACOUSTICSIF3.6
PREAI
分享收藏
分享收藏
查看更多内容