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Journal articles on the topic 'Microphone based acoustic vector sensor'

Author: Grafiati

Published: 6 September 2023

Last updated: 31 July 2025

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1

Waite, Jim, David Dall'Osto, and Callum McCubbin. "Autonomous monitoring of traffic, rail, and industrial noise using acoustic vector beamformers based on 3D MEMS accelerometers." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 268, no. 6 (2023): 2124–32. http://dx.doi.org/10.3397/in_2023_0312.

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Fully unattended acoustic monitoring has been hindered by the need to automatically discriminate specific sources from overall noise levels at a measurement location, even if that noise is very close in proximity. Existing 3D microphone-based acoustic intensity or camera solutions are unwieldy and expensive for real-time deployments. A new system has been developed for autonomously monitoring noise levels in transportation and industrial settings, managed within an IoT network. Each measurement node has one or two Acoustic Real-time Event Sensors (ARES) and a beamformer algorithm using 3D MEMS

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Dall'Osto, David R., Peter H. Dahl, and Jim Waite. "Measuring the effect of ground impedance on the vector field, both in air and underwater." Journal of the Acoustical Society of America 152, no. 4 (2022): A193. http://dx.doi.org/10.1121/10.0015996.

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One direct advantage to characterizing the acoustic field with a vector sensor is the ability to measure both components of acoustic energy, potential (pressure) and kinetic (particle velocity). While it is well known that the kinetic energy exceeds potential in the near-field of a source, equivalent and opposite imbalances are prevalent in the far-field due to propagation effects. For example, at normal incidence the field exhibits a distinct frequency dependent relationship that depends explicitly on the impedance of the ground reflector, including any internal reflections from sediment laye

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3

Yu, Yicheng, Rob Worley, Sean Anderson, and Kirill V. Horoshenkov. "Microphone array analysis for simultaneous condition detection, localization, and classification in a pipe." Journal of the Acoustical Society of America 153, no. 1 (2023): 367–83. http://dx.doi.org/10.1121/10.0016856.

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An acoustic method for simultaneous condition detection, localization, and classification in air-filled pipes is proposed. The contribution of this work is threefold: (1) a microphone array is used to extend the usable acoustic frequency range to estimate the reflection coefficient from blockages and lateral connections; (2) a robust regularization method of sparse representation based on a wavelet basis function is adapted to reduce the background noise in acoustical data; and (3) the wavelet components are used to localize and classify the condition of the pipe. The microphone array and spar

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4

Yu, Jingjing, Qi Xi, Runlei Li, Hui Tian, and Yaxi Xie. "Stochastic allocation strategy for irregular arrays based on geometric feature control." International Journal of Distributed Sensor Networks 16, no. 5 (2020): 155014772092177. http://dx.doi.org/10.1177/1550147720921775.

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Irregularities in microphone distribution enrich the diversity of spatial differences to decorrelate interferences from the beamforming target. However, the large degrees of freedom of irregular placements make it difficult to analyse and optimize array performance. This article proposes fast and feasible optimal irregular array design methods with improved beamforming performance for human speech. Important geometric features are extracted to be used as the input vector of the neural network structure to determine the optimal irregular arrangements of sensors. In addition, a hyperbola design

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Kotus, Jozef, Grzegorz Szwoch, Andrzej Czyzewski, and Bozena Kostek. "Assessment of road surface state with acoustic vector sensor." Journal of the Acoustical Society of America 152, no. 4 (2022): A193. http://dx.doi.org/10.1121/10.0015995.

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A method of determining the road surface state based on the sound intensity analysis is presented. The proposed method is designed for the passive, non-contact assessment of a road surface state, especially in dry/wet conditions. The proposed method is intended for monitoring stations utilizing low-cost hardware. The road surface state is determined from the analysis of sound intensity emitted by road vehicles passing by the sensor and recorded with an acoustic vector sensor (AVS). A frequency domain sound intensity analysis included spatial filtering to reduce the environmental interference u

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Mohtadifar, Masoud, Michael Cheffena, and Alireza Pourafzal. "Acoustic- and Radio-Frequency-Based Human Activity Recognition." Sensors 22, no. 9 (2022): 3125. http://dx.doi.org/10.3390/s22093125.

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In this work, a hybrid radio frequency (RF)- and acoustic-based activity recognition system was developed to demonstrate the advantage of combining two non-invasive sensors in Human Activity Recognition (HAR) systems and smart assisted living. We used a hybrid approach, employing RF and acoustic signals to recognize falling, walking, sitting on a chair, and standing up from a chair. To our knowledge, this is the first work that attempts to use a mixture of RF and passive acoustic signals for Human Activity Recognition purposes. We conducted experiments in the lab environment using a Vector Net

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Kotus, Józef, and Grzegorz Szwoch. "Calibration of acoustic vector sensor based on MEMS microphones for DOA estimation." Applied Acoustics 141 (December 2018): 307–21. http://dx.doi.org/10.1016/j.apacoust.2018.07.025.

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8

Yang, Lingmeng, Zhezheng Zhu, Wangnan Chen, Chengchen Gao, Yilong Hao, and Zhenchuan Yang. "Quantitative Analysis Method and Correction Algorithm Based on Directivity Beam Pattern for Mismatches between Sensitive Units of Acoustic Dyadic Sensors." Sensors 23, no. 12 (2023): 5709. http://dx.doi.org/10.3390/s23125709.

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Acoustic dyadic sensors (ADSs) are a new type of acoustic sensor with higher directivity than microphones and acoustic vector sensors, which has great application potential in the fields of sound source localization and noise cancellation. However, the high directivity of an ADS is seriously affected by the mismatches between its sensitive units. In this article, (1) a theoretical model of mixed mismatches was established based on the finite-difference approximation model of uniaxial acoustic particle velocity gradient and its ability to reflect the actual mismatches was proven by the comparis

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Zou, Yuexian, Zhaoyi Liu, and Christian Ritz. "Enhancing Target Speech Based on Nonlinear Soft Masking Using a Single Acoustic Vector Sensor." Applied Sciences 8, no. 9 (2018): 1436. http://dx.doi.org/10.3390/app8091436.

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Enhancing speech captured by distant microphones is a challenging task. In this study, we investigate the multichannel signal properties of the single acoustic vector sensor (AVS) to obtain the inter-sensor data ratio (ISDR) model in the time-frequency (TF) domain. Then, the monotone functions describing the relationship between the ISDRs and the direction of arrival (DOA) of the target speaker are derived. For the target speech enhancement (SE) task, the DOA of the target speaker is given, and the ISDRs are calculated. Hence, the TF components dominated by the target speech are extracted with

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10

Gabrielson, Thomas B., and Daniel C. Brown. "Fireworks." Journal of the Acoustical Society of America 153, no. 3_supplement (2023): A216. http://dx.doi.org/10.1121/10.0018701.

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Once a year, in many parts of the country, transient acoustic sources light up the sky. A fourth-of-July fireworks display provides an excellent opportunity for exploring array-based detection and direction-of-arrival determination. Multiple-boom events are difficult to process; however, less-frequent single-boom events are often sufficiently isolated in time for unambiguous interpretation. Cross-correlations between channels of a four-microphone array provide time delays for angle-of-arrival determination and measures for event detection. The distinct time-domain wave shapes and high signal-t

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11

Ye, Liang, Peng Wang, Le Wang, Hany Ferdinando, Tapio Seppänen, and Esko Alasaarela. "A Combined Motion-Audio School Bullying Detection Algorithm." International Journal of Pattern Recognition and Artificial Intelligence 32, no. 12 (2018): 1850046. http://dx.doi.org/10.1142/s0218001418500465.

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School bullying is a common social problem, which affects children both mentally and physically, making the prevention of bullying a timeless topic all over the world. This paper proposes a method for detecting bullying in school based on activity recognition and speech emotion recognition. In this method, motion and voice data are gathered by movement sensors and a microphone, followed by extraction of a set of motion and audio features to distinguish bullying incidents from daily life events. Among extracted motion features are both time-domain and frequency-domain features, while audio feat

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12

Jegorowa, Albina, Jarosław Kurek, Michał Kruk, and Jarosław Górski. "The Use of Multilayer Perceptron (MLP) to Reduce Delamination during Drilling into Melamine Faced Chipboard." Forests 13, no. 6 (2022): 933. http://dx.doi.org/10.3390/f13060933.

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Drilling into melamine-faced-wood-based panels is one of the most common processes in modern furniture manufacturing. Delamination is usually the main and the most troublesome quality defect in this case. A lot of scientific studies draw the conclusion that the progress of tool wearing during the cutting of wood-based materials is the key problem. Therefore, tool condition monitoring and the replacement of worn tools at the right time is the most useful and common (in the industrial practice) way to reduce delamination. However, the automation of this process is still a problem due to various

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13

Li, Chen, Jiang, and Han. "Chinese Traditional Musical Instrument Evaluation Based on a Smart Microphone Array Sensor." Proceedings 15, no. 1 (2019): 40. http://dx.doi.org/10.3390/proceedings2019015040.

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For Chinese traditional musical instruments, the general subjective evaluation method by experts is not cost-effective and is limited by fewer and fewer experts, but a clear physical law is very hard to established by physicists. Considering the effectiveness of artificial neural networks (ANNs) for complex system, for a Chinese lute case, a neural network based 8-microphone array is applied to correlate the objective instrument acoustic features with expert subjective evaluations in this paper. The acoustic features were recorded by a microphone array sensor and extracted as the constant-Q tr

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14

Wang, Qiao Yun, and Zhen He Ma. "Polymer Diaphragm Based Fiber Optic Fabry-Perot Acoustic Sensor." Applied Mechanics and Materials 401-403 (September 2013): 1087–90. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.1087.

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This paper presents a polymer diaphragm based Fabry-Perot (F-P) sensor system for aeroacoustic measurement in air. The diaphragm of a novel polymer material poly phthalazinone ether sulfone ketone (PPESK) is used as the sensing element. The effective dimension of the diaphragm is 1.0mm in diameter and 6μm in thickness. Thanks to the good mechanical feature of the material and the interferometric-intensity demodulation mechanism, the sensor diaphragm shift sensitivity of 0.72 nm/Pa, correspond to an acoustic pressure to voltage sensitivity of 5.56mV/Pa has been achieved. Experimental results sh

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15

Lee, Keon Ja E. "Machine learning based flexible piezoelectric sensor." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A227. http://dx.doi.org/10.1121/10.0023360.

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This seminar introduces flexible inorganic piezoelectric membrane that can detect the minute vibration of membrane for self-powered acoustic sensor and blood pressure monitor. Herein, we reported a machine learning-based acoustic sensor by mimicking the basilar membrane of human cochlear. Highly sensitive self-powered flexible piezoelectric acoustic sensor with a multi-resonant frequency band was employed for voice recognition. Convolutional Neural Network (CNN) were utilized for speaker recognition, resulted in a 97.5% speaker recognition rate with the 75% reduction of error rate compared to

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16

Hou, Chongyang, Shuye Zhang, Rui Liu, et al. "Boosting flexible electronics with integration of two‐dimensional materials." InfoMat 6, no. 7 (2024): e12555. https://doi.org/10.1002/inf2.12555.

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This dataset includes original TIFF and PNG data from original research within the project EBEAM. Precisely, there are 15 final, complex Figures, two Schemes, seven Tables, and the final PDF version of the article below: PDF of the article final version "Boosting flexible electronics with integration of two‐dimensional materials" Figure 1. Machine learning‐assisted temperature-pressure electronic skin with decoupling capability (TPD e skin) enables object recognition. (A) Principle of using machine learning to recognize objects via e‐skin. (B) Structure of a one‐dimensional convolutional neura

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17

Guo, Huihui, Jianbo Li, Tingting Liu, Mingqiang Feng, and Yang Gao. "Design and Optimization of a BAW Microphone Sensor." Micromachines 13, no. 6 (2022): 893. http://dx.doi.org/10.3390/mi13060893.

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A wind tunnel experiment is an important way and effective method to research the generation mechanism of aerodynamic noise and verify aerodynamic noise reduction technology. Acoustic measurement is an important part of wind tunnel experiments, and the microphone is the core device in an aerodynamic acoustic measurement system. Aiming at the problem of low sound pressure (several Pa) and the small measuring surface of an experimental model in a wind tunnel experiment, a microphone sensor head with high sensitivity and small volume, based on film bulk acoustic resonator (FBAR), is presented and

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18

Scheuer, Kyle G., Ayden Chen, Ghenesis Teves, and Ray G. DeCorby. "Characterization of micro-scale gas leaks using an optomechanical ultrasound sensor." Journal of the Acoustical Society of America 158, no. 1 (2025): 329–35. https://doi.org/10.1121/10.0037183.

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We used an optomechanical microphone to measure the acoustic signals emitted by compressed-air jets emanating from apertures as small as ∼5 μm. In keeping with the predictions of aeroacoustic theory, spectra extending into the high-frequency (MHz) ultrasound region were observed. Most of this acoustic energy lies well above the range of a conventional ultrasonic microphone. Conversely, the broadband response of the optomechanical sensor offers the potential to localize and quantify leaks based on a more complete knowledge of the acoustic spectrum. We show that the minimum detectable flow rate,

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19

Chikai, Manabu, Ayuko Kamiyanagi, Kenta Kimura, et al. "Pilot Study on an Acoustic Measurements System of the Swallowing Function Using an Acoustic-Emissions Microphone." Journal of Advanced Computational Intelligence and Intelligent Informatics 21, no. 2 (2017): 293–300. http://dx.doi.org/10.20965/jaciii.2017.p0293.

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The goal of this study is to evaluate the swallowing functions of people with dysphagia using an acoustic microphone sensor. As a basic investigation towards this end, we measured the swallowing sounds using an acoustic emissions microphone sensor (AE sensor), then analyzed the frequency range of the measured signals, and we examined the method for obtaining the necessary information to evaluate the swallowing functions. For the measurement, two types of sensors, i.e., a condenser throat microphone and an AE sensor, were employed to measure the swallowing sounds. The acoustic signals obtained

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20

Hopper, Richard, Daniel Popa, Vasileios Tsoutsouras, Florin Udrea, and Phillip Stanley-Marbell. "Miniaturized Thermal Acoustic Gas Sensor Based on a CMOS Microhotplate and MEMS Microphone." Proceedings 56, no. 1 (2020): 3. http://dx.doi.org/10.3390/proceedings2020056003.

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In this work, we present a novel thermal acoustic gas sensor, fabricated using a CMOS microhotplate and MEMS microphone. The sensing mechanism is based on the detection of changes in the thermal acoustic conversion efficiency which is dependent on the physical properties of the gas. The gas sensor has all the benefits of CMOS technology, including low cost and miniaturization. Here, we demonstrate its application for CO2 gas detection.

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21

Liu, Shuang, Yu Lan, and Qi Li. "Design of Underwater Acoustic Vector Sensor and its Elastic Suspension Element." Applied Mechanics and Materials 713-715 (January 2015): 569–72. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.569.

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Acoustic vector sensor is a kind of inertial sensors. Different from pressure-sensing sensor, it can sense the angle of target under the water. Now most suspension elements are installed on the acoustic vector sensor later. This paper outlines an acoustic vector sensor which is encased in silicon rubber. In this paper, a new structure of acoustic vector sensor is present. The radial stiffness of silicon rubber spring is analyzed by using theory and simulation calculation based on the finite element software ANSYS. At last, the acoustic vector sensor is measured. The results show that the new s

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22

Monteiro, Catarina S., Maria Raposo, Paulo A. Ribeiro, Susana O. Silva, and Orlando Frazão. "Acoustic Optical Fiber Sensor Based on Graphene Oxide Membrane." Sensors 21, no. 7 (2021): 2336. http://dx.doi.org/10.3390/s21072336.

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A Fabry–Pérot acoustic sensor based on a graphene oxide membrane was developed with the aim to achieve a faster and simpler fabrication procedure when compared to similar graphene-based acoustic sensors. In addition, the proposed sensor was fabricated using methods that reduce chemical hazards and environmental impacts. The developed sensor, with an optical cavity of around 246 µm, showed a constant reflected signal amplitude of 6.8 ± 0.1 dB for 100 nm wavelength range. The sensor attained a wideband operation range between 20 and 100 kHz, with a maximum signal-to-noise ratio (SNR) of 32.7 dB

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23

Yan, Jiaming, Caihui Chen, Zhipeng Wu, Xiaoxia Ding, and Liang Lou. "An Acoustic Localization Sensor Based on MEMS Microphone Array for Partial Discharge." Sensors 23, no. 3 (2023): 1077. http://dx.doi.org/10.3390/s23031077.

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Partial discharge (PD) localization is important for monitoring and maintaining high-voltage equipment, which can help to prevent accidents. In this work, an acoustic localization sensor based on microelectromechanical system (MEMS) microphone array is proposed, which can detect and locate the partial discharge through a beam-forming algorithm. The MEMS microphone array consists of eight commercial MEMS microphones (SPV08A0LR5H-1, Knowles Electronics, IL, USA) with an aperture size of about 0.1 m × 0.1 m, allowing for a small hardware size and low cost. In order to optimize the acoustic perfor

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Wang, Jiarui, Thushara Abhayapala, Jihui (Aimee) Zhang, and Prasanga N. Samarasinghe. "Multizone reproduction by matching the velocity vectors." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A208. http://dx.doi.org/10.1121/10.0023300.

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This paper proposes a velocity-based multizone reproduction method, which reproduces the velocity vectors throughout each listening zone. Velocity vectors are related to the localization of sound below 700 Hz. Previous work considered reproducing the velocity vectors at sweet spots or on the listening zone’s boundary, and usually involved measurements using multiple velocity sensors. In this paper, in each listening zone, the velocity vectors are calculated from the spherical harmonic coefficients of the pressure, which are obtained by a spherical microphone array. The calculation of the veloc

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25

Al-Farzaq, Ayu Afifah, Harmadi Harmadi, and Elvaswer Elvaswer. "Wireless Data Logger Instrument for Indoor Acoustic Quality Measurement Based on Noise Background, Sound Distribution and Reverberation Time." JURNAL ILMU FISIKA | UNIVERSITAS ANDALAS 14, no. 1 (2022): 37–44. http://dx.doi.org/10.25077/jif.14.1.37-44.2022.

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A wireless data logger system measuring indoor acoustic quality was developed using a NodeMCU ESP8266 and microphone sensor KY-037. The acoustic quality is based on parameters of sound pressure level and reverberation time. The system consists of a transmitter unit and a receiver unit. The transmitter unit is equipped with a Microphone KY-037 sensor as a sound detector and NodeMCU ESP8266 as a microcontroller and serial communication with the database. The transmitter unit of this measuring instrument is set at predetermined position points in a room. The results of testing the sound pressure

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26

Avots, Egils, Alekss Vecvanags, Jevgenijs Filipovs, et al. "Towards Automated Detection and Localization of Red Deer Cervus elaphus Using Passive Acoustic Sensors during the Rut." Remote Sensing 14, no. 10 (2022): 2464. http://dx.doi.org/10.3390/rs14102464.

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Passive acoustic sensors have the potential to become a valuable complementary component in red deer Cervus elaphus monitoring providing deeper insight into the behavior of stags during the rutting period. Automation of data acquisition and processing is crucial for adaptation and wider uptake of acoustic monitoring. Therefore, an automated data processing workflow concept for red deer call detection and localization was proposed and demonstrated. The unique dataset of red deer calls during the rut in September 2021 was collected with four GPS time-synchronized microphones. Five supervised mac

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27

Parkins, John W., Jiri Tichy, and Scott D. Sommerfeldt. "The effects of microphone mismatch on the performance of a spherical acoustic vector‐field sensor." Journal of the Acoustical Society of America 101, no. 5 (1997): 3035. http://dx.doi.org/10.1121/1.418648.

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28

Park, Jaehyeon, and Jedo Kim. "Movement tracking using asymmetric impedance meta-surface based on Helmholtz resonator." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 268, no. 4 (2023): 4239–44. http://dx.doi.org/10.3397/in_2023_0599.

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Acoustic sensors are one of the most commonly used sensors for detecting obstacles in mobile robots and vehicles by providing distance information of the obstacles in their path. However, although a single sensor can determine an object's distance, two or more sensors must be used to detect the movement of an object. Here, we propose a method to determine the distance and direction of an object traveling to a single sensor using an asymmetrically formed acoustic field. The acoustic field is formed by impedance-varying acoustic meta-surface using an asymmetric Helmholtz resonator array. We pres

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29

Zhou, Chenzheng, Junbin Zang, Chenyang Xue, et al. "Design of a Novel Medical Acoustic Sensor Based on MEMS Bionic Fish Ear Structure." Micromachines 13, no. 2 (2022): 163. http://dx.doi.org/10.3390/mi13020163.

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High-performance medical acoustic sensors are essential in medical equipment and diagnosis. Commercially available medical acoustic sensors are capacitive and piezoelectric types. When they are used to detect heart sound signals, there is attenuation and distortion due to the sound transmission between different media. This paper proposes a new bionic acoustic sensor based on the fish ear structure. Through theoretical analysis and finite element simulation, the optimal parameters of the sensitive structure are determined. The sensor is fabricated using microelectromechanical systems (MEMS) te

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30

Weber, Christian, Johannes Kapp, Katrin Schmitt, Hans-Fridtjof Pernau, and Jürgen Wöllenstein. "Resonant Photoacoustic Detection of NO2 with an LED Based Sensor." Proceedings 2, no. 13 (2018): 1036. http://dx.doi.org/10.3390/proceedings2131036.

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In times of steadily increasing air pollution especially in urban areas, the monitoring of nitrogen dioxide (NO2) has gained in importance and with it the search for compact, low-cost sensors. We present a novel approach to measure NO2 in sub-ppm concentrations with a photoacoustic sensor utilizing a T-shaped resonance cell. An inexpensive single LED with a peak wavelength of 410 nm was used as radiation source and the acoustic detection was done with a commercial MEMS microphone. For optimal coupling of the divergent LED light into the cell, the T-shaped resonator was developed and fabricated

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Xu, Xiang-Yuan, Hao Ge, Jing Zhao, et al. "A monolithic three-dimensional thermal convective acoustic vector sensor with acoustic-transparent heat sink." JASA Express Letters 2, no. 4 (2022): 044001. http://dx.doi.org/10.1121/10.0010275.

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An acoustic vector sensor can directly detect acoustic particle velocity based on the measured temperature difference between closely spaced heated wires. For the detection of velocity in three dimensions, an integrated three-dimensional (3 D) sensor is desired, but it remains challenging in MEMS (Micro-Electro-Mechanical System) manufacturing. Here, a novel monolithic 3 D acoustic vector sensor is proposed, which is constructed using in-plane distributed wires assembled with acoustically transparent heat sink. The planar MEMS structure of the proposed sensor makes it easy to be fabricated and

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Vandendriessche, Jurgen, Bruno da Silva, Lancelot Lhoest, An Braeken, and Abdellah Touhafi. "M3-AC: A Multi-Mode Multithread SoC FPGA Based Acoustic Camera." Electronics 10, no. 3 (2021): 317. http://dx.doi.org/10.3390/electronics10030317.

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Acoustic cameras allow the visualization of sound sources using microphone arrays and beamforming techniques. The required computational power increases with the number of microphones in the array, the acoustic images resolution, and in particular, when targeting real-time. Such a constraint limits the use of acoustic cameras in many wireless sensor network applications (surveillance, industrial monitoring, etc.). In this paper, we propose a multi-mode System-on-Chip (SoC) Field-Programmable Gate Arrays (FPGA) architecture capable to satisfy the high computational demand while providing wirele

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WURZINGER, Andreas, Patrick HEIDEGGER, Florian KRAXBERGER, et al. "Prediction of vibro-acoustic sound emissions based on mapped structural dynamics." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 3 (2024): 8251–60. http://dx.doi.org/10.3397/in_2024_4065.

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In the product design of shell-like housing structures for vibrating bodies, acoustic emission plays a significant role in usability and customer comfort. Consequently, the prediction of the emitted sound, e.g., in the form of the radiated sound power, is desired in the earliest possible stage of the development cycle. In industry, performing extensive acoustic testing using microphone arrays or laser scanning vibrometry is often time-consuming or infeasible, as it requires an acoustically treated measurement chamber and specific measurement equipment. On the other hand, accelerometer data is

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Song, Ping, Chuangbo Hao, Jiangpeng Wu, and Cheng Yang. "Acoustic source localization using 10-microphone array based on wireless sensor network." Sensors and Actuators A: Physical 267 (November 2017): 376–84. http://dx.doi.org/10.1016/j.sna.2017.10.019.

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Sezen, A. S., S. Sivaramakrishnan, S. Hur, R. Rajamani, W. Robbins, and B. J. Nelson. "Passive Wireless MEMS Microphones for Biomedical Applications." Journal of Biomechanical Engineering 127, no. 6 (2005): 1030–34. http://dx.doi.org/10.1115/1.2049330.

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This paper introduces passive wireless telemetry based operation for high frequency acoustic sensors. The focus is on the development, fabrication, and evaluation of wireless, batteryless SAW-IDT MEMS microphones for biomedical applications. Due to the absence of batteries, the developed sensors are small and as a result of the batch manufacturing strategy are inexpensive which enables their utilization as disposable sensors. A pulse modulated surface acoustic wave interdigital transducer (SAW-IDT) based sensing strategy has been formulated. The sensing strategy relies on detecting the ac comp

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Raghukumar, Kaustubha, Grace Chang, Frank Spada, and Craig Jones. "A Vector Sensor-Based Acoustic Characterization System for Marine Renewable Energy." Journal of Marine Science and Engineering 8, no. 3 (2020): 187. http://dx.doi.org/10.3390/jmse8030187.

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NoiseSpotter is a passive acoustic monitoring system that characterizes, classifies, and geo-locates anthropogenic and natural sounds in near real time. It was developed with the primary goal of supporting the evaluation of potential acoustic effects of offshore renewable energy projects. The system consists of a compact array of three acoustic vector sensors, which measures acoustic pressure and the three-dimensional particle velocity vector associated with the propagation of an acoustic wave, thereby inherently providing bearing information to an underwater source of sound. By utilizing an a

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Li, Xin Bo, Nan Nan Liu, Nan Jiang, Xiao Bo Long, and Xiao Yang Jiao. "Second-Order Statistics-Based Multi-Parameter Estimation of Near-Field Acoustic Sources." Applied Mechanics and Materials 461 (November 2013): 977–83. http://dx.doi.org/10.4028/www.scientific.net/amm.461.977.

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In this paper, a new approach based on the second-order statistics (SOS) and acoustic vector sensor (AVS) array is proposed, for localization estimation of near-field acoustic narrowband sources. Firstly, we choose the centrosymmetric uniform linear-array as the AVS arrangement, and the array is consistent with the coordinate axis direction of the acoustic vector-sensor. This estimation method makes good use of the acquisition information from the AVS, such as one-dimensional sound pressure and three-dimensional particle velocity, and has shown preferable performance for the parameter estimati

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Finn, Anthony, Kevin Rogers, Feng Rice, Joshua Meade, Greg Holland, and Peter May. "A Comparison of Vertical Atmospheric Wind Profiles Obtained from Monostatic Sodar and Unmanned Aerial Vehicle–Based Acoustic Tomography." Journal of Atmospheric and Oceanic Technology 34, no. 10 (2017): 2311–28. http://dx.doi.org/10.1175/jtech-d-17-0070.1.

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AbstractThe natural sound generated by an unmanned aerial vehicle is used in conjunction with tomography to remotely sense the virtual temperature and wind profiles of the atmosphere in a horizontal plane up to an altitude of 1200 m and over a baseline of 600 m. Sound fields recorded on board the aircraft and by an array of microphones on the ground are compared and converted to sound speed estimates for the ray paths intersecting the intervening medium. Tomographic inversion is then used to transform these sound speed values into two-dimensional profiles of virtual temperature and wind vector

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Febrina, Melany, Eko Satria, Mitra Djamal, Wahyu Srigutomo, and Martin Liess. "Acoustic CO2 Gas Sensor Based on Phase Difference Measurement." Journal of Science and Applicative Technology 5, no. 2 (2021): 397. http://dx.doi.org/10.35472/jsat.v5i2.680.

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In this research, an acoustic sensor has been successfully built to measure the concentration of CO2 gas in a mixture of gases (N2 and CO2). The nitrogen and carbon dioxide gases used are ultra-high purity (UHP) gas. The measurement parameter used is the speed of sound by utilizing the phase shift between ultrasonic wave signals that are sent and received continuously. The acoustic method in this research is by using the speaker as an ultrasonic wave transmitter, and the microphone as an ultrasonic wave receiver emitted by the speaker on the gas medium. This acoustic phase shift method is very

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López, Juan Manuel, Jesús Alonso, César Asensio, Ignacio Pavón, Luis Gascó, and Guillermo de Arcas. "A Digital Signal Processor Based Acoustic Sensor for Outdoor Noise Monitoring in Smart Cities." Sensors 20, no. 3 (2020): 605. http://dx.doi.org/10.3390/s20030605.

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Presently, large cities have significant problems with noise pollution due to human activity. Transportation, economic activities, and leisure activities have an important impact on noise pollution. Acoustic noise monitoring must be done with equipment of high quality. Thus, long-term noise monitoring is a high-cost activity for administrations. For this reason, new alternative technological solutions are being used to reduce the costs of measurement instruments. This article presents a design for a versatile electronic device to measure outdoor noise. This device has been designed according t

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Eggleston, Michele L., Kent L. Gee, Logan T. Mathews, et al. "Source characterization of afterburning laboratory-scale jet noise with vector acoustic intensity." Journal of the Acoustical Society of America 155, no. 3_Supplement (2024): A145. http://dx.doi.org/10.1121/10.0027108.

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This paper presents an intensity-based characterization of noise sources in a highly heated laboratory-scale jet with a 3-inch exit diameter. Run conditions had nozzle pressure ratios between 2.7 and 3.5 and temperature ratios of ∼7. Measurements were performed using a microphone scanning rig containing 8 four-microphone intensity probes. Probes were separated by 1.5 nozzle diameters and the microphones were spaced 0.5 nozzle diameters apart. Each scan mapped out over 3,000 measurement locations to produce an intensity field map. Vector intensity was processed over a 200 Hz to 20 kHz bandwidth

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ma, fei, Sipei Zhao, and Thushara Abhayapala. "Physics-informed neural network assisted spherical microphone array signal processing." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A182. http://dx.doi.org/10.1121/10.0023200.

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Thanks to their rotational symmetry that facilitates three-dimensional signal processing, spherical microphone arrays are the common array apertures used for spatial audio and acoustic applications. However, practical implementations of spherical microphone arrays suffer from two issues. First, at high frequency range, a large number of sensors are needed to accurately capture a sound field. Second, the accompanying signal processing algorithm, i.e., the spherical harmonic decomposition method, requires a variable radius array or a rigid surface array to circumvent the spherical Bessel functio

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Bonilla-Manrique, Oscar E., Julio E. Posada-Roman, Jose A. Garcia-Souto, and Marta Ruiz-Llata. "Sub-ppm-Level Ammonia Detection Using Photoacoustic Spectroscopy with an Optical Microphone Based on a Phase Interferometer." Sensors 19, no. 13 (2019): 2890. http://dx.doi.org/10.3390/s19132890.

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A sensitive optical microphone for photoacoustic spectroscopy based on the common path topology of a fibre laser Doppler vibrometer (FLDV) using phase-generated carrier demodulation and a slim diaphragm as an acoustic wave transducer was demonstrated. A resonant gas cell was adapted to enhance gas-detection performance and simultaneously provide efficient cancellation of the window background acoustic signal. Ammonia (NH3) was selected as the target gas. The absorption line was experimentally identified using a distributed feedback laser diode emitting at 1530 nm. The linearity and sensitivity

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Haddad, Diego B., Markus V. S. Lima, Wallace A. Martins, Luiz W. P. Biscainho, Leonardo O. Nunes, and Bowon Lee. "Acoustic Sensor Self-Localization: Models and Recent Results." Wireless Communications and Mobile Computing 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/7972146.

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The wide availability of mobile devices with embedded microphones opens up opportunities for new applications based on acoustic sensor localization (ASL). Among them, this paper highlights mobile device self-localization relying exclusively on acoustic signals, but with previous knowledge of reference signals and source positions. The problem of finding the sensor position is stated as a function of estimated times-of-flight (TOFs) or time-differences-of-flight (TDOFs) from the sound sources to the target microphone, and the main practical issues involved in TOF estimation are discussed. Least

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Bayrakli, Ismail, Hatice Akman, and Filiz Sari. "Sensor using a photo-acoustic absorption cell with two perpendicular acoustic resonators to analyze multiple molecules." Applied Optics 62, no. 25 (2023): 6689. http://dx.doi.org/10.1364/ao.495411.

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An ultra-high sensitivity multi-molecule sensor based on a photo-acoustic cell with two perpendicular acoustic resonators and a common microphone has been reported. In this work, a 4.5 µm distributed-feedback quantum cascade laser and a 1.5 µm external cavity diode laser (EC-DL) were used as optical excitation sources. Considering the spectral ranges of the lasers used, it is possible to analyze eight molecules (QCL:N2O and CO2, EC-DL: H2O, H2S, NH3, CO, CH4, and C2H2). The N2O molecule was used to evaluate the performance of the photo-acoustic spectroscopy (PAS)-based sensor. A sensitivity of

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Bozzi, Fabricio A., and Sérgio M. Jesus. "Vector Sensor Steering-Dependent Performance in an Underwater Acoustic Communication Field Experiment." Sensors 22, no. 21 (2022): 8332. http://dx.doi.org/10.3390/s22218332.

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This paper shows the performance resulting from combining vector sensor directional components in an underwater acoustic communication experiment. The objective is to relate performance with transmission direction and range. Receiver structures based on beamforming and passive time-reversal are tested in order to quantify and compare the steerability impact of vector sensor directional components. A shallow water experiment is carried out with a bottom fixed two-axis pressure-gradient vector sensor. A ship suspended acoustic source transmits coherent modulated communication signals at various

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Lauwers, Thomas, Alain Glière, and Skandar Basrour. "An all-Optical Photoacoustic Sensor for the Detection of Trace Gas." Sensors 20, no. 14 (2020): 3967. http://dx.doi.org/10.3390/s20143967.

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A highly sensitive Fabry–Perot based transduction method is proposed as an all-optical alternative for the detection of trace gas by the photoacoustic spectroscopy technique. A lumped element model is firstly devised to help design the whole system and is successfully compared to finite element method simulations. The fabricated Fabry–Perot microphone consists in a hinged cantilever based diaphragm, processed by laser cutting, and directly assembled at the tip of an optical fiber. We find a high acoustic sensitivity of 630 mV/Pa and a state-of-the-art noise equivalent pressure, as low as ~ 2 μ

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Zhou, Hao, and Wen Lin Huang. "Study on Vector Hydrophone Array DOA Estimation." Applied Mechanics and Materials 543-547 (March 2014): 2589–93. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2589.

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Vector hydrophone is composed of acoustic pressure sensor and particle velocity sensor, which can simultaneously measure acoustic pressure and orthogonal components of particle velocity. MUSIC (Multiple Signal Classification) algorithm is a high resolution spatial spectrum analysis method based on subspace decomposition. This paper introduces the operation principles of this algorithm in detail and investigates the application of MUSIC algorithm to the DOA estimation of acoustic sources by a vector-hydrophone ULA (Uniform Linear Array) output model. Simulation results indicate that the resolut

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Kotus, Józef, and Grzegorz Szwoch. "Separation of Simultaneous Speakers with Acoustic Vector Sensor." Sensors 25, no. 5 (2025): 1509. https://doi.org/10.3390/s25051509.

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This paper presents a method of sound source separation in live audio signals, based on sound intensity analysis. Sound pressure signals recorded with an acoustic vector sensor are analyzed, and the spectral distribution of sound intensity in two dimensions is calculated. Spectral components of the analyzed signal are selected based on the calculated source direction, which leads to a spatial filtration of the sound. The experiments were performed with test signals convolved with impulse responses of a real sensor, recorded for a varying sound source position. The experiments evaluated the pro

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Safizadeh, M. S., and A. Golmohammadi. "Ball bearing fault detection via multi-sensor data fusion with accelerometer and microphone." Insight - Non-Destructive Testing and Condition Monitoring 63, no. 3 (2021): 168–75. http://dx.doi.org/10.1784/insi.2021.63.3.168.

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Early detection of defects in bearings is essential to avoid the complete failure of machinery and the associated costs. This study presents a novel method for fault diagnosis of bearings using sensor fusion with a microphone and an accelerometer. The system has five modules, namely data acquisition, signal processing, feature extraction, classification and decision-making. A test-rig is designed to collect acoustic and vibration signals. Then, for each signal, indices are calculated in the time and frequency domains. After using principal component analysis (PCA) for feature extraction, the k

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