A Gold Diaphragm-Based Fabry-Perot Interferometer With a Fiber-Optic Collimator for Acoustic Sensing

Xiang, Zhuowei; Dai, Weiyu; Rao, Weiying; Cai, Xiaomei; Fu, Hongyan

doi:10.1109/jsen.2021.3086107

Cited by 27 publications

(14 citation statements)

References 22 publications

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“…Up to date, most of membrane-based fiber optic acoustic sensor schemes usually focus on the optical fiber structure [17][18][19][20] or the material and size of membrane [18,[21][22][23]; meanwhile, the stress exerted on the membrane is neglected, which is also a crucial parameter affecting the response characteristics of sensors [24,25]. Since accurately controlling membrane stress is challenging during the fabrication process of membrane-based acoustic sensors, a few investigations and experiments have revealed the influence law of stress on the response mechanism of fiber optic acoustic sensors [24,26,27], which results in unstable and inconsistent response characteristics between different acoustic sensors.…”

Section: Introductionmentioning

confidence: 99%

Investigation of membrane stress continuously adjustable fiber optic acoustic sensor based on inverse piezoelectric effect

Luo,

Ding,

Sun

2024

Meas. Sci. Technol.

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In this paper, a membrane stress continuously adjustable fiber optic acoustic sensor technology is proposed, in which the stress exerted on membrane can be flexibly adjusted by employing inverse piezoelectric effect of Lead zirconate titanate (PZT) tubular pedestal. Firstly, the response mechanism of stress on membrane is investigated theoretically. On this basis, the effect of adjustable stress on the flat response region and sensitivity of single mode-multimode-single mode (SMS) fiber optic acoustic sensor are studied experimentally. The experimental result reveals that the flat response region of sensor extends from 250 Hz to 450 Hz following with the continuous increase of membrane stress by changing the positive Direct Current (DC) voltage applied on PZT from 0 V to 100 V, meanwhile the sensitivity decreases gradually from 336.5 mV/Pa to 162.7 mV/Pa. The result also verifies that the average minimum detectable pressure (MDP) of sensor maintains at 0.54 mPa/Hz1/2 with a fluctuation of 0.08 mPa/Hz1/2 during the tuning process of membrane stress, which provides a flexible method for performance and applicability improvement of membrane-based fiber optic acoustic sensors.

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Section: Introductionmentioning

confidence: 99%

Investigation of membrane stress continuously adjustable fiber optic acoustic sensor based on inverse piezoelectric effect

Luo,

Ding,

Sun

2024

Meas. Sci. Technol.

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“…Membranes with thin thickness and high mechanical strength are crucial for exploring highly sensitive optical microphones. In the literature, various materials have been researched as membrane candidates, including metals [21][22][23], polymers [24], and graphene [25,26]. However, acoustic performance is often hindered by residue stress introduced during fabrication or radial stretching of the membrane in response to external pressure.…”

Section: Introductionmentioning

confidence: 99%

Ultrasensitive diamond cantilever-based optical microphone

Li,

Tian,

Lin

et al. 2024

Preprint

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Microphones play a pivotal role in extending the capabilities of voice interaction, biomedical testing, and trace gas detection. Acquiring acoustic signals with high sensitivity, low noise, and broad frequency response in a compact form is a well-known challenge. Herein, we report a novel diamond cantilever-based optical microphone (DCOM) using a Fabry-Perot interferometric structure. The DCOM achieves ultrahigh sensitivity (1433.8 mVamp/Pa or 1013.8 mVrms/Pa) and a minimum detectable acoustic pressure (0.24 µPa/Hz^1/2), both of which represent among the best values ever reported for a microphone with identical geometry, alongside a broad frequency response spanning from 500 Hz to 6.5 kHz. The outstanding performance of the DCOM can be attributed to the extraordinary mechanical strength, low energy dissipation, and low thermal noise of the diamond. In addition, the DCOM-based system demonstrates high performance in weak sound detection over a long distance, revealing its promising applications in various challenging industrial fields.

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“…It is necessary to achieve high-quality voice communication in environments that have high temperatures, high pressure, strong radiation and strong electromagnetic effects. These environments create difficulties for conventional electroacoustic sensors and cause them not to work properly [ 1 ]. External Fabry–Perot interferometric (EFPI) acoustic sensors are widely used in special fields such as national defense and security [ 2 ], marine acoustic monitoring and positioning [ 3 ] and fuel pipeline leakage and positioning [ 4 ] because of their passive detection end, anti-electromagnetic interference, low loss, corrosion resistance and long-distance capabilities [ 5 , 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Speech Enhancement of an Extrinsic Fabry–Perot Interferometric Fiber Acoustic Sensor System

Chai

Guo

Guan

et al. 2023

Sensors

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To achieve high-quality voice communication technology without noise interference in flammable, explosive and strong electromagnetic environments, the speech enhancement technology of a fiber-optic external Fabry–Perot interferometric (EFPI) acoustic sensor based on deep learning is studied in this paper. The combination of a complex-valued convolutional neural network and a long short-term memory (CV-CNN-LSTM) model is proposed for speech enhancement in the EFPI acoustic sensing system. Moreover, the 3 × 3 coupler algorithm is used to demodulate voice signals. Then, the short-time Fourier transform (STFT) spectrogram features of voice signals are divided into a training set and a test set. The training set is input into the established CV-CNN-LSTM model for model training, and the test set is input into the trained model for testing. The experimental findings reveal that the proposed CV-CNN-LSTM model demonstrates exceptional speech enhancement performance, boasting an average Perceptual Evaluation of Speech Quality (PESQ) score of 3.148. In comparison to the CV-CNN and CV-LSTM models, this innovative model achieves a remarkable PESQ score improvement of 9.7% and 11.4%, respectively. Furthermore, the average Short-Time Objective Intelligibility (STOI) score witnesses significant enhancements of 4.04 and 2.83 when contrasted with the CV-CNN and CV-LSTM models, respectively.

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A Gold Diaphragm-Based Fabry-Perot Interferometer With a Fiber-Optic Collimator for Acoustic Sensing

Cited by 27 publications

References 22 publications

Investigation of membrane stress continuously adjustable fiber optic acoustic sensor based on inverse piezoelectric effect

Investigation of membrane stress continuously adjustable fiber optic acoustic sensor based on inverse piezoelectric effect

Ultrasensitive diamond cantilever-based optical microphone

Deep Learning-Based Speech Enhancement of an Extrinsic Fabry–Perot Interferometric Fiber Acoustic Sensor System

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