Optimization of direction-of-arrival estimation of single pressure gradient vector hydrophone

Xu Hu Wang; Jian Feng Chen; Jing Han; Qun Fei Zhang

doi:10.3969/j.issn.1000-1093.2014.03.008

Optimization of direction-of-arrival estimation of single pressure gradient vector hydrophone

Xu Hu Wang
, Jian Feng Chen
, Jing Han
, Qun Fei Zhang

School of Marine Science and Technology

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

The performance of direction-of-arrival (DOA) estimation of single pressure gradient vector hydrophone degrades rapidly when the diameter-wavelength ratio is more than 0.2. A modified MUSIC algorithm for single pressure gradient vector hydrophone is presented, which improves DOA estimation performance by optimizing the steering vector of the pressure gradient vector hydrophone. Simulation results indicate that the estimation performance of the MUSIC algorithm is better than that of the sound intensity method, and the modified MUSIC algorithm for single pressure gradient vector hydrophone has better estimation performance and robustness compared with MUSIC algorithm when the diameter-wavelength ratio is more than 0.2. The results of the lake trial powerfully testify the validity of the modified MUSIC algorithm for single pressure gradient vector hydrophone.

Original language	English
Pages (from-to)	340-346
Number of pages	7
Journal	Binggong Xuebao/Acta Armamentarii
Volume	35
Issue number	3
DOIs	https://doi.org/10.3969/j.issn.1000-1093.2014.03.008
State	Published - Mar 2014

Keywords

DOA estimation
Information processing
MUSIC algorithm
Pressure gradient vector hydrophone

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10.3969/j.issn.1000-1093.2014.03.008

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title = "Optimization of direction-of-arrival estimation of single pressure gradient vector hydrophone",

abstract = "The performance of direction-of-arrival (DOA) estimation of single pressure gradient vector hydrophone degrades rapidly when the diameter-wavelength ratio is more than 0.2. A modified MUSIC algorithm for single pressure gradient vector hydrophone is presented, which improves DOA estimation performance by optimizing the steering vector of the pressure gradient vector hydrophone. Simulation results indicate that the estimation performance of the MUSIC algorithm is better than that of the sound intensity method, and the modified MUSIC algorithm for single pressure gradient vector hydrophone has better estimation performance and robustness compared with MUSIC algorithm when the diameter-wavelength ratio is more than 0.2. The results of the lake trial powerfully testify the validity of the modified MUSIC algorithm for single pressure gradient vector hydrophone.",

keywords = "DOA estimation, Information processing, MUSIC algorithm, Pressure gradient vector hydrophone",

author = "Wang, \{Xu Hu\} and Chen, \{Jian Feng\} and Jing Han and Zhang, \{Qun Fei\}",

year = "2014",

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doi = "10.3969/j.issn.1000-1093.2014.03.008",

language = "英语",

volume = "35",

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journal = "Binggong Xuebao/Acta Armamentarii",

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T1 - Optimization of direction-of-arrival estimation of single pressure gradient vector hydrophone

AU - Wang, Xu Hu

AU - Chen, Jian Feng

AU - Han, Jing

AU - Zhang, Qun Fei

PY - 2014/3

Y1 - 2014/3

N2 - The performance of direction-of-arrival (DOA) estimation of single pressure gradient vector hydrophone degrades rapidly when the diameter-wavelength ratio is more than 0.2. A modified MUSIC algorithm for single pressure gradient vector hydrophone is presented, which improves DOA estimation performance by optimizing the steering vector of the pressure gradient vector hydrophone. Simulation results indicate that the estimation performance of the MUSIC algorithm is better than that of the sound intensity method, and the modified MUSIC algorithm for single pressure gradient vector hydrophone has better estimation performance and robustness compared with MUSIC algorithm when the diameter-wavelength ratio is more than 0.2. The results of the lake trial powerfully testify the validity of the modified MUSIC algorithm for single pressure gradient vector hydrophone.

AB - The performance of direction-of-arrival (DOA) estimation of single pressure gradient vector hydrophone degrades rapidly when the diameter-wavelength ratio is more than 0.2. A modified MUSIC algorithm for single pressure gradient vector hydrophone is presented, which improves DOA estimation performance by optimizing the steering vector of the pressure gradient vector hydrophone. Simulation results indicate that the estimation performance of the MUSIC algorithm is better than that of the sound intensity method, and the modified MUSIC algorithm for single pressure gradient vector hydrophone has better estimation performance and robustness compared with MUSIC algorithm when the diameter-wavelength ratio is more than 0.2. The results of the lake trial powerfully testify the validity of the modified MUSIC algorithm for single pressure gradient vector hydrophone.

KW - DOA estimation

KW - Information processing

KW - MUSIC algorithm

KW - Pressure gradient vector hydrophone

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DO - 10.3969/j.issn.1000-1093.2014.03.008

M3 - 文章

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SN - 1000-1093

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JO - Binggong Xuebao/Acta Armamentarii

JF - Binggong Xuebao/Acta Armamentarii

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Optimization of direction-of-arrival estimation of single pressure gradient vector hydrophone

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Keywords

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