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Citation:
 Zhi Li,Hongjuan Chen.Method for Measuring Self-noise of Vector Hydrophones[J].Journal of Marine Science and Application,2017,(3):370-374.[doi:10.1007/s11804-017-1428-4]
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Method for Measuring Self-noise of Vector Hydrophones(PDF/HTML)

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Title:
Method for Measuring Self-noise of Vector Hydrophones
Author(s):
Zhi Li12 Hongjuan Chen12
Affilations:
Author(s):
Zhi Li12 Hongjuan Chen12
1. Science and Technology on Underwater Acoustic Laboratory, Harbin Engineering University, Harbin 150001, China;
2. College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China
Keywords:
self-noisevector hydrophoneacoustic measurementunderwater transducertransfer function method
分类号:
-
DOI:
10.1007/s11804-017-1428-4
Abstract:
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. To accurately measure the VH self-noise level in actual working conditions, the Dual-channel Transfer Function Method (DTFM) is proposed to reduce ambient background noise interference. In this paper, the underlying principles of DTFM in reducing ambient background noise is analyzed. The numerical simulations to determine the influence of ambient background noise, and the sensitivity difference of the two VHs on the measurement results are studied. The results of measuring the VH self-noise level in a small laboratory water tank by using DTMF indicate that ambient background noise interference can be reduced effectively by employing DTMF, more accurate self-noise level can be obtained as well. The DTMF provides an effective method for accurately measuring the self-noise level of VHs and also provides technical support for the practical application of the VH in underwater acoustics.

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Memo

Memo:
Received date: 2017-01-20;Accepted date:2017-03-07。
Corresponding author:Hongjuan Chen,chenhongjuan@hrbeu.edu.cn
Last Update: 2017-08-31