Results 161 to 170 of about 5,216 (194)

MEMS Vector Hydrophone Structual Error Analysis and Testing

Applied Mechanics and Materials, 2011
In this paper, we analysis the working principle of a cilium-type MEMS vector hydrophone, by analyzing we obtained the errors of the vector micro-sensor are deviations from column cilium. Since the structure is mainly picking up sound vibrations by the cilium, the piezoresistor which on the beams connected by Wheatstone bridge circuit will output the ...
Gui Xiong Shi, Guo Jun Zhang, Xi Bao Liu, Xiao Yao Wang, Jiao Xu   +4 more
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Experimental Research of Vector Hydrophone MVDR Algorithm

Journal of Information and Computational Science, 2015
The estimation of Direction of Arrival (DOA) is an important issue of underwater acoustic signal processing. The purpose of beamforming is to form the directivity of the target direction and to catch the target efiectively. So, the beamforming technology is widely used in this fleld.
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Method for measuring self-noise of vector hydrophones

Journal of Marine Science and Application, 2017
The Vector Hydrophone (VH) is widely used to remotely detect underwater targets. Accurately measuring the self-noise of the VH provides an important basis for evaluating the performance of the detection system in which it is utilized, since the ability to acquire weak signals is determined by the VH self-noise level.
Zhi Li, Hongjuan Chen
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Beam patterns of an underwater acoustic vector hydrophone

Proceedings of the Tenth IEEE Workshop on Statistical Signal and Array Processing (Cat. No.00TH8496), 2002
A vector hydrophone is composed of two or three spatially collocated but orthogonally oriented velocity hydrophones plus an optional collocated pressure hydrophone. A vector hydrophone may form azimuth-elevation beams that are frequency invariant, bandwidth invariant and same for the near field as for the far field. This paper characterizes the maximum-
K.T. Wong, null Hoiming Chi
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Research on capacitance attitude self-correction vector hydrophone

2013 International Conference on Optoelectronics and Microelectronics (ICOM), 2013
To solve the underwater target vector detecting problems, the paper introduced the design of a attitude self-correction hydrophone which used its sensitive accelerometer to correct the attitude. The hydrophone's sensitive unit which could response the zero-frequency signal was a MEMS capacitance accelerometer with high sensitivity.
null Peng Zhang, null Xin Shi, null Haitao Chen   +2 more
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Geoacoustic Inversion Based on a Vector Hydrophone Array

The Journal of the Acoustical Society of America, 2008
Vector sensor has attracted much attention in recent years. However, there are few papers involving in geoacoustic inversion from vector sensor. In this research, a geoacoustic inversion scheme employing a vector hydrophone array has been developed based on the fact that vector hydrophone can provide more acoustic field information than traditional ...
Fenghua Li, Renhe Zhang
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Acoustic Vector Hydrophone Array Supergain Energy Flux Beamforming

2006 8th international Conference on Signal Processing, 2006
The supergain beamforming is introduced into pressure-gradient vector hydrophone array beamforming here. An acoustic vector hydrophone can simultaneously measure the scalar information - acoustic pressure and vector information of acoustic field - particle velocity at the same spot.
Na Qi, Tan Tian
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Geoacoustic Inversion Based on a Vector Hydrophone Array

Chinese Physics Letters, 2007
We propose a geoacoustic inversion scheme employing a vector hydrophone array based on the fact that vector hydrophone can provide more acoustic field information than traditional pressure hydrophones. Firstly, the transmission loss of particle velocities is discussed.
Peng Han-Shu, Li Feng-Hua
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Deep Learning for DOA Estimation Using a Vector Hydrophone

OCEANS 2019 MTS/IEEE SEATTLE, 2019
Source azimuth can be estimated via the complex sound intensity method based on a single vector hydrophone, which exploits the physical properties of acoustic pressure and particle velocity components. Deep learning has been successfully used to estimate source depth and distance via training and prediction; herein it is adapted to estimate the source ...
Huaigang Cao, Wenbo Wang, Haiyan Ni, Qunyan Ren, Li Ma   +4 more
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Esprit algorithm performance analysis based on vector hydrophone array

International Conference on Automatic Control and Artificial Intelligence (ACAI 2012), 2012
The intrinsic essence of DOA estimation of the vector hydrophone array utilizing ESPRIT algorithm is analyzed. All the processing methods can be classified into two types. One is utilizing the rotational invariance information of acoustic pressure and particle velocity and the other estimates DOA parameters using the information of different subarrays.
null Xuhu Wang, null Han Jing, null Jianfeng Chen, null Yong Ye   +3 more
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