The Test System of DFB Fiber Laser Hydrophone Acoustic Pressure Sensitivity

Author(s):  
Jia Liu ◽  
Yuanyuan Yang ◽  
Zhihui Sun ◽  
Xiaolei Zhang
2009 ◽  
Vol 36 (6) ◽  
pp. 1473-1478 ◽  
Author(s):  
马丽娜 Ma Lina ◽  
胡永明 Hu Yongming ◽  
罗洪 Luo Hong ◽  
张学亮 Zhang Xueliang ◽  
孟洲 Meng Zhou

Author(s):  
Lei Shi ◽  
Licheng Jia ◽  
Chongbin Liu ◽  
Hongbin Yu ◽  
Chengliang Sun ◽  
...  

Abstract In this paper, a low noise amplification circuit is designed for aluminum nitride (AlN)-based piezoelectric micromachined ultrasonic transducers (PMUTs) with three diffenent sensing configurations. The acoustic pressure sensitivity and noise resolution of PMUTs corresponding to different readout configurations are analyzed and characterized. With the differential readout configuration, the acoustic pressure sensitivity of the PMUTs is improved by 5.76 dB (re: 1 V/μPa) on average, and the noise resolution is reduced by about 8 dB at 500 Hz (re: 1 μPa/√Hz). Compared to the conventional readout configuration, both theoretical analysis and measurement results show that the output voltage of PMUTs is doubled with the differential readout configuration and thus the acoustic pressure sensitivity is improved. Moreover, the noise resolution of PMUTs is reduced and thus the signal-to-noise (SNR) is improved. This work offers new insight on improving the receiving performance of PMUTs.


Acta Acustica ◽  
2021 ◽  
Vol 5 ◽  
pp. 37
Author(s):  
Philippe Béquin ◽  
Adalbert Nanda Tonlio ◽  
Stéphane Durand

It is shown experimentally that a microplasma created by a microstructured electrode array is sensitive to sound pressure. In this paper, two electrode architectures are used to create the microplasma. The sensitivity of these microplasma microphones, close to 0.4 nA/Pa, is estimated using a waveguide and a calibration method by comparison with a reference microphone. An empirical expression of the acoustic pressure sensitivity of microdischarges is proposed. The predictions of this empirical model are in good agreement with the experimental data.


2017 ◽  
Vol 7 (3) ◽  
pp. 253-260 ◽  
Author(s):  
Ming Li ◽  
Zhihui Sun ◽  
Xiaolei Zhang ◽  
Shujuan Li ◽  
Zhiqiang Song ◽  
...  

2013 ◽  
Vol 60 (21) ◽  
pp. 1892-1897 ◽  
Author(s):  
Shun Wang ◽  
Ping Lu ◽  
Hao Liao ◽  
Liang Zhang ◽  
Deming Liu ◽  
...  

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