Detection of the Incoming Sound Direction Employing MEMS Microphones and the DSP

Author(s):  
Grzegorz Szwoch ◽  
Józef Kotus
2006 ◽  
Vol 9 (11) ◽  
pp. 59
Keyword(s):  

Author(s):  
Chiao-Teng Jordan Chung ◽  
Chih-Cheng Lu ◽  
Wei-Shu Rih ◽  
Ching-Feng Lee ◽  
Cheng-Ming Shih ◽  
...  

2021 ◽  
Author(s):  
Bohao Hu ◽  
Binghui Lin ◽  
Wenjuan Liu ◽  
Chengliang Sun

2017 ◽  
Vol 141 (5) ◽  
pp. 3958-3958
Author(s):  
Lara del-Val ◽  
Alberto Izquierdo ◽  
Juan J. Villacorta ◽  
Luis Suarez ◽  
Marta Herráez

2021 ◽  
Vol 263 (3) ◽  
pp. 3023-3034
Author(s):  
Carsten Spehr ◽  
Daniel Ernst ◽  
Hans-Georg Raumer

Aircraft cabin noise measurements in flight are used toto quantify the noise level, and to identify the entry point of acoustic energy into the cabin. Sound intensity probes are the state-of-the-art measurement technique for this task. During measurements, additional sound absorbing material is used to ease the rather harsh acoustic measurement environment inside the cabin. In order to decrease the expensive in-flight measurement time, an intensity array approach was chosen. This intensity probe consists of 512 MEMS-Microphones. Depending on the frequency, these microphones can be combined as an array of hundreds of 3D- intensity probes. The acoustic velocity is estimated using a high order 3D finite difference stencil. At low frequencies, a larger spacing is used to reduce the requirement of accurate phase match of the microphone sensors. Measurements were conducted in the ground-based Dornier 728 cabin noise simulation as well as in-flight.


Sensors ◽  
2019 ◽  
Vol 19 (16) ◽  
pp. 3469
Author(s):  
Chien-Chang Huang ◽  
Chien-Hao Liu

In this research, we proposed a miniaturized two-element sensor array inspired by Ormia Ochracea for sound direction finding applications. In contrast to the convectional approach of using mechanical coupling structures for enlarging the intensity differences, we exploited an electrical coupling network circuit composed of lumped elements to enhance the phase differences and extract the optimized output power for good signal-to-noise ratio. The separation distance between two sensors could be reduced from 0.5 wavelength to 0.1 wavelength 3.43 mm at the operation frequency of 10 kHz) for determining the angle of arrivals. The main advantages of the proposed device include low power losses, flexible designs, and wide operation bandwidths. A prototype was designed, fabricated, and experiments examined within a sound anechoic chamber. It was demonstrated that the proposed device had a phase enhancement of 110 ∘ at the incident angle of 90 ∘ and the normalized power level of −2.16 dB at both output ports. The received power levels of our device were 3 dB higher than those of the transformer-type direction-finding system. In addition, our proposed device could operate in the frequency range from 8 kHz to 12 kHz with a tunable capacitor. The research results are expected to be beneficial for the compact sonar or radar systems.


2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Lara del Val ◽  
Alberto Izquierdo ◽  
Juan José Villacorta ◽  
Luis Suárez

This paper proposes the use of a signal acquisition and processing system based on an8×8planar array of MEMS (Microelectromechanical Systems) microphones to obtain acoustic images of a fan matrix. A3×3matrix of PC fans has been implemented to perform the study. Some tests to obtain the acoustic images of the individual fans and of the whole matrix have been defined and have been carried out inside an anechoic chamber. The nonstationary signals received by each MEMS microphone and their corresponding spectra have been analyzed, as well as the corresponding acoustic images. The analysis of the acoustic signals spectra reveals the resonance frequency of the individual fans. The obtained results reveal the feasibility of the proposed system to obtained acoustic images of a fan matrix and of its individual fans, in this last case, in order to estimate the real position of the fan inside the matrix.


Author(s):  
J. Tiete ◽  
F. Domínguez ◽  
B. da Silva ◽  
A. Touhafi ◽  
K. Steenhaut

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