Depth Discrimination for Low-Frequency Sources Using a Horizontal Line Array of Acoustic Vector Sensors Based on Mode Extraction

Depth discrimination is a key procedure in acoustic detection or target classification for low-frequency underwater sources. Conventional depth-discrimination methods use a vertical line array, which has disadvantage of poor mobility due to the size of the sensor array. In this paper, we propose a d...

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Main Authors: Guolong Liang, Yifeng Zhang, Guangpu Zhang, Jia Feng, Ce Zheng
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/18/11/3692
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author Guolong Liang
Yifeng Zhang
Guangpu Zhang
Jia Feng
Ce Zheng
author_facet Guolong Liang
Yifeng Zhang
Guangpu Zhang
Jia Feng
Ce Zheng
author_sort Guolong Liang
collection DOAJ
description Depth discrimination is a key procedure in acoustic detection or target classification for low-frequency underwater sources. Conventional depth-discrimination methods use a vertical line array, which has disadvantage of poor mobility due to the size of the sensor array. In this paper, we propose a depth-discrimination method for low-frequency sources using a horizontal line array (HLA) of acoustic vector sensors based on mode extraction. First, we establish linear equations related to the modal amplitudes based on modal beamforming in the vector mode space. Second, we solve the linear equations by introducing the total least square algorithm and estimate modal amplitudes. Third, we select the power percentage of the low-order modes as the decision metric and construct testing hypotheses based on the modal amplitude estimation. Compared with a scalar sensor, a vector sensor improves the depth discrimination, because the mode weights are more appropriate for doing so. The presented linear equations and the solution algorithm allow the method to maintain good performance even using a relatively short HLA. The constructed testing hypotheses are highly robust against mismatched environments. Note that the method is not appropriate for the winter typical sound speed waveguide, because the characteristics of the modes differ from those in downward-refracting sound speed waveguide. Robustness analysis and simulation results validate the effectiveness of the proposed method.
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spelling doaj.art-dd7ad63802224773924297cc739330f72022-12-22T02:15:14ZengMDPI AGSensors1424-82202018-10-011811369210.3390/s18113692s18113692Depth Discrimination for Low-Frequency Sources Using a Horizontal Line Array of Acoustic Vector Sensors Based on Mode ExtractionGuolong Liang0Yifeng Zhang1Guangpu Zhang2Jia Feng3Ce Zheng4Acoustic 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, ChinaDepth discrimination is a key procedure in acoustic detection or target classification for low-frequency underwater sources. Conventional depth-discrimination methods use a vertical line array, which has disadvantage of poor mobility due to the size of the sensor array. In this paper, we propose a depth-discrimination method for low-frequency sources using a horizontal line array (HLA) of acoustic vector sensors based on mode extraction. First, we establish linear equations related to the modal amplitudes based on modal beamforming in the vector mode space. Second, we solve the linear equations by introducing the total least square algorithm and estimate modal amplitudes. Third, we select the power percentage of the low-order modes as the decision metric and construct testing hypotheses based on the modal amplitude estimation. Compared with a scalar sensor, a vector sensor improves the depth discrimination, because the mode weights are more appropriate for doing so. The presented linear equations and the solution algorithm allow the method to maintain good performance even using a relatively short HLA. The constructed testing hypotheses are highly robust against mismatched environments. Note that the method is not appropriate for the winter typical sound speed waveguide, because the characteristics of the modes differ from those in downward-refracting sound speed waveguide. Robustness analysis and simulation results validate the effectiveness of the proposed method.https://www.mdpi.com/1424-8220/18/11/3692depth discriminationhorizontal line arrayacoustic vector sensormode extraction
spellingShingle Guolong Liang
Yifeng Zhang
Guangpu Zhang
Jia Feng
Ce Zheng
Depth Discrimination for Low-Frequency Sources Using a Horizontal Line Array of Acoustic Vector Sensors Based on Mode Extraction
Sensors
depth discrimination
horizontal line array
acoustic vector sensor
mode extraction
title Depth Discrimination for Low-Frequency Sources Using a Horizontal Line Array of Acoustic Vector Sensors Based on Mode Extraction
title_full Depth Discrimination for Low-Frequency Sources Using a Horizontal Line Array of Acoustic Vector Sensors Based on Mode Extraction
title_fullStr Depth Discrimination for Low-Frequency Sources Using a Horizontal Line Array of Acoustic Vector Sensors Based on Mode Extraction
title_full_unstemmed Depth Discrimination for Low-Frequency Sources Using a Horizontal Line Array of Acoustic Vector Sensors Based on Mode Extraction
title_short Depth Discrimination for Low-Frequency Sources Using a Horizontal Line Array of Acoustic Vector Sensors Based on Mode Extraction
title_sort depth discrimination for low frequency sources using a horizontal line array of acoustic vector sensors based on mode extraction
topic depth discrimination
horizontal line array
acoustic vector sensor
mode extraction
url https://www.mdpi.com/1424-8220/18/11/3692
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AT yifengzhang depthdiscriminationforlowfrequencysourcesusingahorizontallinearrayofacousticvectorsensorsbasedonmodeextraction
AT guangpuzhang depthdiscriminationforlowfrequencysourcesusingahorizontallinearrayofacousticvectorsensorsbasedonmodeextraction
AT jiafeng depthdiscriminationforlowfrequencysourcesusingahorizontallinearrayofacousticvectorsensorsbasedonmodeextraction
AT cezheng depthdiscriminationforlowfrequencysourcesusingahorizontallinearrayofacousticvectorsensorsbasedonmodeextraction