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An Improved Azimuth Angle Estimation Method with a Single Acoustic Vector Sensor Based on an Active Sonar Detection System

In this paper, an improved azimuth angle estimation method with a single acoustic vector sensor (AVS) is proposed based on matched filtering theory. The proposed method is mainly applied in an active sonar detection system. According to the conventional passive method based on complex acoustic inten...

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Detalles Bibliográficos
Autores principales: Zhao, Anbang, Ma, Lin, Ma, Xuefei, Hui, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336113/
https://www.ncbi.nlm.nih.gov/pubmed/28230763
http://dx.doi.org/10.3390/s17020412
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author Zhao, Anbang
Ma, Lin
Ma, Xuefei
Hui, Juan
author_facet Zhao, Anbang
Ma, Lin
Ma, Xuefei
Hui, Juan
author_sort Zhao, Anbang
collection PubMed
description In this paper, an improved azimuth angle estimation method with a single acoustic vector sensor (AVS) is proposed based on matched filtering theory. The proposed method is mainly applied in an active sonar detection system. According to the conventional passive method based on complex acoustic intensity measurement, the mathematical and physical model of this proposed method is described in detail. The computer simulation and lake experiments results indicate that this method can realize the azimuth angle estimation with high precision by using only a single AVS. Compared with the conventional method, the proposed method achieves better estimation performance. Moreover, the proposed method does not require complex operations in frequency-domain and achieves computational complexity reduction.
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spelling pubmed-53361132017-03-16 An Improved Azimuth Angle Estimation Method with a Single Acoustic Vector Sensor Based on an Active Sonar Detection System Zhao, Anbang Ma, Lin Ma, Xuefei Hui, Juan Sensors (Basel) Article In this paper, an improved azimuth angle estimation method with a single acoustic vector sensor (AVS) is proposed based on matched filtering theory. The proposed method is mainly applied in an active sonar detection system. According to the conventional passive method based on complex acoustic intensity measurement, the mathematical and physical model of this proposed method is described in detail. The computer simulation and lake experiments results indicate that this method can realize the azimuth angle estimation with high precision by using only a single AVS. Compared with the conventional method, the proposed method achieves better estimation performance. Moreover, the proposed method does not require complex operations in frequency-domain and achieves computational complexity reduction. MDPI 2017-02-20 /pmc/articles/PMC5336113/ /pubmed/28230763 http://dx.doi.org/10.3390/s17020412 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhao, Anbang
Ma, Lin
Ma, Xuefei
Hui, Juan
An Improved Azimuth Angle Estimation Method with a Single Acoustic Vector Sensor Based on an Active Sonar Detection System
title An Improved Azimuth Angle Estimation Method with a Single Acoustic Vector Sensor Based on an Active Sonar Detection System
title_full An Improved Azimuth Angle Estimation Method with a Single Acoustic Vector Sensor Based on an Active Sonar Detection System
title_fullStr An Improved Azimuth Angle Estimation Method with a Single Acoustic Vector Sensor Based on an Active Sonar Detection System
title_full_unstemmed An Improved Azimuth Angle Estimation Method with a Single Acoustic Vector Sensor Based on an Active Sonar Detection System
title_short An Improved Azimuth Angle Estimation Method with a Single Acoustic Vector Sensor Based on an Active Sonar Detection System
title_sort improved azimuth angle estimation method with a single acoustic vector sensor based on an active sonar detection system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336113/
https://www.ncbi.nlm.nih.gov/pubmed/28230763
http://dx.doi.org/10.3390/s17020412
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