Low-frequency beamforming for a miniaturized aperture three-by-three uniform rectangular array of acoustic vector sensors

Guo, Xijing; Yang, Shi‐e; Miron, Sébastian

doi:10.1121/1.4937759

Cited by 22 publications

(5 citation statements)

References 27 publications

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“…Then, the temperature difference can be converted into an electrical signal by a Wheatstone bridge. The perturbation temperature field δT can be solved by the following equation in the Cartesian coordinates [18] ∂ t δT − D∇ 2 δT = −v∂ x T (11) where D = k/ρcp is the heat diffusion coefficient of the air, and ∂xT is the gradient of the stationary temperature distribution. The temperature perturbation caused by a single heating wire is derived…”

Section: Temperature Perturbation Due To the Acoustic Wavementioning

confidence: 99%

“…Recently, bio-inspired acoustic vector sensors (AVSs) have been demonstrated to detect the first-order spatial gradient of the pressure without any algorithms [5][6][7][8]. It has been shown that the AVSbased array can obtain higher directionality and a smaller array aperture than the microphone array [9][10][11]. * Author to whom any correspondence should be addressed.…”

Section: Introductionmentioning

confidence: 99%

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An analytical model of three-hot-wire acoustic particle velocity sensors

Zhu

Chen

Yang

et al. 2023

J. Micromech. Microeng.

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A thermal based acoustic vector sensor consisting of three heated wires can detect the acoustic particle velocity instead of pressure. This paper proposes an analytical model for calculating the temperature distribution and acoustic caused temperature perturbation of the sensor with three-hot-wire configuration. In this model, the nonlinear effect caused by nonuniform thermal conductivity is considered. The nonlinear effects will not only affect the temperature of three hot wires, but also the frequency response of the sensor. According to the stationary temperature distribution calculated by nonlinear model, we correct the heat diffusion coefficient in acoustic perturbation model. The nonlinear stationary model and corrected perturbation model are found to be in good agreement with numerical results.What’s more, we design a chip to measure the temperature distribution of three heated wires and compare the sensitivity of the sensor with corrected model. The experimental results can verify the proposed model. This study provides a theoretical basis for sensor performance optimization.

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Section: Temperature Perturbation Due To the Acoustic Wavementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An analytical model of three-hot-wire acoustic particle velocity sensors

Zhu

Chen

Yang

et al. 2023

J. Micromech. Microeng.

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“…In [19], Biswas et al reported a metamorphic hemispherical microelectromechanical systems (MEMS) microphone array to estimate the location of a sound source in 3D space. In addition, Guo et al [20] introduced a 3 × 3 uniform rectangular array of 2D acoustic vector sensors with a miniaturized aperture to extract the directional acoustic modes. In [21], the authors designed a smallaperture differential microphone array and proposed a speaker direction-of-arrival (DOA) estimation method with orthogonal dipoles.…”

Section: Introductionmentioning

confidence: 99%

SuperSoundcompass: a high-accuracy acoustic localization sensor using a small aperture microphone array

Wang

Dong

et al. 2021

Meas. Sci. Technol.

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Although miniaturized acoustic localization sensors have significant advantages in many fields, such as video conferencing, smart homes, intelligent scene monitoring, and robot audition, it is challenging to achieve high localization accuracy using them. In this study, a miniaturized acoustic localization sensor called SuperSoundcompass is developed. The system consists of seven identical microelectromechanical systems microphones distributed on a circular substrate with a radius of 4.5 cm. A high localization accuracy can be obtained with a limited number of acoustic sensors with compressive sensing applied. In order to verify the effectiveness of SuperSoundcompass, a series of simulations and experiments are performed under various conditions, such as low signal-to-noise ratio, coherent arrivals, and snapshot-starved data. The average root-mean-square error of SuperSoundcompass at 0 dB is 1.81∘. The results confirm its excellent performance in terms of accuracy.

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“…Especially recently, the interest in DOA estimation with VSA increased exponentially. Guo et al introduced a super directive mode domain beamformer for a 3 Â 3 uniform rectangular array of 2D acoustic VSA with miniaturized aperture [7]. Han and Nehorai applied the nested-array concept to VSA and provided a processing strategy for the source number detection and DOA estimation based on Higher Order Singular Value Decomposition (HOSVD) [8].…”

Section: Introductionmentioning

confidence: 99%

Vector-sensor array direction-of-arrival estimation exploiting spatial time-frequency structure based on joint approximate diagonalization

Song

Yang

Wang

2019

Acoust. Sci. & Tech.

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By making use of the extra particle velocity information, an array of vector sensors can achieve better Direction-of-arrival (DOA) estimation performance than a conventional array of pressure sensors. However, it is noted that most of the previous work on DOA estimation with vectorsensor array uses only the time-space statistical information available on the array signals and does not exploit the difference in the time-frequency signatures of the sources. In this paper, we develop a new approach which exploits the inherent time-frequency-space characteristics of the underlying vectorsensor array signal to achieve better DOA estimation performance even in a noisy and coherent environment with few snapshots. It turns out that our approach is based on the spatial time-frequency distributions (STFD) information and can efficiently combine all of the relevant STFD points by the joint approximate diagonalization approach, such as Jacobi rotation, to reduce the effect of noise and achieve the desired angular resolution. Computer simulations with several frequently encountered scenarios, such as multiple closely spaced coherent sources, indicate the superior DOA estimation resolution of our proposed approach as compared with existing techniques. In addition, from a statistical point of view, the performance of our proposed approach is investigated more closely by considering the root mean square error (RMSE) respectively versus SNRs, snapshots, or number of sensors and its excellent performance for higher DOA estimation accuracy is demonstrated.

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Low-frequency beamforming for a miniaturized aperture three-by-three uniform rectangular array of acoustic vector sensors

Cited by 22 publications

References 27 publications

An analytical model of three-hot-wire acoustic particle velocity sensors

An analytical model of three-hot-wire acoustic particle velocity sensors

SuperSoundcompass: a high-accuracy acoustic localization sensor using a small aperture microphone array

Vector-sensor array direction-of-arrival estimation exploiting spatial time-frequency structure based on joint approximate diagonalization

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