Smart Ocean: A New Fast Deconvolved Beamforming Algorithm for Multibeam Sonar

A new fast deconvolved beamforming algorithm is proposed in this paper, and it can greatly reduce the computation complexity of the original Richardson⁻Lucy (R⁻L algorithm) deconvolution algorithm by utilizing the convolution theorem and the fast Fourier transform technique. This...

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Main Authors: Jie Huang, Tian Zhou, Weidong Du, Jiajun Shen, Wanyuan Zhang
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/18/11/4013
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spelling doaj-7396e982be954709a96dee42638557992020-11-24T20:57:44ZengMDPI AGSensors1424-82202018-11-011811401310.3390/s18114013s18114013Smart Ocean: A New Fast Deconvolved Beamforming Algorithm for Multibeam SonarJie Huang0Tian Zhou1Weidong Du2Jiajun Shen3Wanyuan Zhang4Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, ChinaAcoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, ChinaAcoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, ChinaAcoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, ChinaAcoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, ChinaA new fast deconvolved beamforming algorithm is proposed in this paper, and it can greatly reduce the computation complexity of the original Richardson⁻Lucy (R⁻L algorithm) deconvolution algorithm by utilizing the convolution theorem and the fast Fourier transform technique. This algorithm makes it possible for real-time high-resolution beamforming in a multibeam sonar system. This paper applies the new fast deconvolved beamforming algorithm to a high-frequency multibeam sonar system to obtain a high bearing resolution and low side lobe. In the sounding mode, it restrains the tunnel effect and makes the topographic survey more accurate. In the 2D acoustic image mode, it can obtain clear images, more details, and can better distinguish two close targets. Detailed implementation methods of the fast deconvolved beamforming are given, its computational complexity is analyzed, and its performance is evaluated with simulated and real data.https://www.mdpi.com/1424-8220/18/11/4013fast deconvolved beamformingtunnel effecthigh-frequency multibeam sonarhigh bearing resolutionlow side lobe
collection DOAJ
language English
format Article
sources DOAJ
author Jie Huang
Tian Zhou
Weidong Du
Jiajun Shen
Wanyuan Zhang
spellingShingle Jie Huang
Tian Zhou
Weidong Du
Jiajun Shen
Wanyuan Zhang
Smart Ocean: A New Fast Deconvolved Beamforming Algorithm for Multibeam Sonar
Sensors
fast deconvolved beamforming
tunnel effect
high-frequency multibeam sonar
high bearing resolution
low side lobe
author_facet Jie Huang
Tian Zhou
Weidong Du
Jiajun Shen
Wanyuan Zhang
author_sort Jie Huang
title Smart Ocean: A New Fast Deconvolved Beamforming Algorithm for Multibeam Sonar
title_short Smart Ocean: A New Fast Deconvolved Beamforming Algorithm for Multibeam Sonar
title_full Smart Ocean: A New Fast Deconvolved Beamforming Algorithm for Multibeam Sonar
title_fullStr Smart Ocean: A New Fast Deconvolved Beamforming Algorithm for Multibeam Sonar
title_full_unstemmed Smart Ocean: A New Fast Deconvolved Beamforming Algorithm for Multibeam Sonar
title_sort smart ocean: a new fast deconvolved beamforming algorithm for multibeam sonar
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2018-11-01
description A new fast deconvolved beamforming algorithm is proposed in this paper, and it can greatly reduce the computation complexity of the original Richardson⁻Lucy (R⁻L algorithm) deconvolution algorithm by utilizing the convolution theorem and the fast Fourier transform technique. This algorithm makes it possible for real-time high-resolution beamforming in a multibeam sonar system. This paper applies the new fast deconvolved beamforming algorithm to a high-frequency multibeam sonar system to obtain a high bearing resolution and low side lobe. In the sounding mode, it restrains the tunnel effect and makes the topographic survey more accurate. In the 2D acoustic image mode, it can obtain clear images, more details, and can better distinguish two close targets. Detailed implementation methods of the fast deconvolved beamforming are given, its computational complexity is analyzed, and its performance is evaluated with simulated and real data.
topic fast deconvolved beamforming
tunnel effect
high-frequency multibeam sonar
high bearing resolution
low side lobe
url https://www.mdpi.com/1424-8220/18/11/4013
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AT weidongdu smartoceananewfastdeconvolvedbeamformingalgorithmformultibeamsonar
AT jiajunshen smartoceananewfastdeconvolvedbeamformingalgorithmformultibeamsonar
AT wanyuanzhang smartoceananewfastdeconvolvedbeamformingalgorithmformultibeamsonar
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