Influence of MEMS Microphone Imperfections on the Performance of First-Order Adaptive Differential Microphone Arrays

2018 ◽  
pp. 170-178
Author(s):  
Andreas Gaich ◽  
Mario Huemer
Keyword(s):  
Microphone Arrays ◽  
First Order ◽  
Mems Microphone

scholarly journals Feasibility of Discriminating UAV Propellers Noise from Distress Signals to Locate People in Enclosed Environments Using MEMS Microphone Arrays

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 597
Author(s):  
Alberto Izquierdo ◽  
Lara del Val ◽  
Juan J. Villacorta ◽  
Weikun Zhen ◽  
Sebastian Scherer ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Micro Electro Mechanical System ◽  
Microphone Arrays ◽  
Heat Sources ◽  
Sound Sources ◽  
Mems Microphone ◽  
Aerial Vehicle ◽  
Acoustic Array ◽  
Alternative Techniques ◽  
The University

Detecting and finding people are complex tasks when visibility is reduced. This happens, for example, if a fire occurs. In these situations, heat sources and large amounts of smoke are generated. Under these circumstances, locating survivors using thermal or conventional cameras is not possible and it is necessary to use alternative techniques. The challenge of this work was to analyze if it is feasible the integration of an acoustic camera, developed at the University of Valladolid, on an unmanned aerial vehicle (UAV) to locate, by sound, people who are calling for help, in enclosed environments with reduced visibility. The acoustic array, based on MEMS (micro-electro-mechanical system) microphones, locates acoustic sources in space, and the UAV navigates autonomously by closed enclosures. This paper presents the first experimental results locating the angles of arrival of multiple sound sources, including the cries for help of a person, in an enclosed environment. The results are promising, as the system proves able to discriminate the noise generated by the propellers of the UAV, at the same time it identifies the angles of arrival of the direct sound signal and its first echoes reflected on the reflective surfaces.

scholarly journals Efficient Implementations of First-Order Steerable Differential Microphone Arrays With Arbitrary Planar Geometry

2020 ◽  
Vol 28 ◽  
pp. 1755-1766 ◽  
Author(s):  
Federico Borra ◽  
Alberto Bernardini ◽  
Fabio Antonacci ◽  
Augusto Sarti
Keyword(s):  
Microphone Arrays ◽  
Planar Geometry ◽  
First Order

Passive Acoustic Localization Based on MEMS Microphone Arrays

2015 ◽  
Vol 645-646 ◽  
pp. 517-521
Author(s):  
Xi Ming Dai ◽  
Wen Zhong Lou ◽  
Ming Ru Guo ◽  
Fu Fu Wang ◽  
Xin Jin
Keyword(s):  
Cross Correlation ◽  
Field Experiments ◽  
Microphone Array ◽  
Test System ◽  
Microphone Arrays ◽  
Time Difference Of Arrival ◽  
Practical Test ◽  
Acoustic Localization ◽  
Mems Microphone ◽  
Passive Acoustic

In this paper we used the MEMS microphone to detect the sound position. A four–microphone array was constructed to localize sound source with Time Difference of Arrival (TDoA) measurements based on hyperbola model. The time delay was calculated using Generalized Cross Correlation (GCC) algorithm. A practical test system was built to confirm the feasibility of the hyperbola model and GCC algorithm using MEMS microphone. Data were collected in field experiments and calculated on PC by matlab. The results show that the method instructed in this paper is feasible in localizing the sound position with MEMS microphone.

scholarly journals Acoustic Source Localization via Subspace Based Method Using Small Aperture MEMS Arrays

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Xin Zhang ◽  
Enliang Song ◽  
JingChang Huang ◽  
Huawei Liu ◽  
YuePeng Wang ◽  
...  
Keyword(s):  
Microphone Arrays ◽  
Portable Devices ◽  
Frequency Error ◽  
Acoustic Source ◽  
Wind Noise ◽  
Small Aperture ◽  
Acoustic Source Localization ◽  
Mems Microphone ◽  
Localization Performance ◽  
Array Aperture

Small aperture microphone arrays provide many advantages for portable devices and hearing aid equipment. In this paper, a subspace based localization method is proposed for acoustic source using small aperture arrays. The effects of array aperture on localization are analyzed by using array response (array manifold). Besides array aperture, the frequency of acoustic source and the variance of signal power are simulated to demonstrate how to optimize localization performance, which is carried out by introducing frequency error with the proposed method. The proposed method for 5 mm array aperture is validated by simulations and experiments with MEMS microphone arrays. Different types of acoustic sources can be localized with the highest precision of 6 degrees even in the presence of wind noise and other noises. Furthermore, the proposed method reduces the computational complexity compared with other methods.

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