scholarly journals Small directional microelectromechanical systems (MEMS) microphone arrays

2013 ◽  
Author(s):  
Gary Elko
Keyword(s):  
Microelectromechanical Systems ◽  
Microphone Arrays ◽  
Mems Microphone

scholarly journals Exploiting Partial Reconfiguration through PCIe for a Microphone Array Network Emulator

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Bruno da Silva ◽  
An Braeken ◽  
Federico Domínguez ◽  
Abdellah Touhafi
Keyword(s):  
Microelectromechanical Systems ◽  
Microphone Array ◽  
Low Cost ◽  
Microphone Arrays ◽  
Partial Reconfiguration ◽  
Acoustic Environment ◽  
Power Efficient ◽  
Mems Microphone ◽  
Network Emulator ◽  
The Impact

The current Microelectromechanical Systems (MEMS) technology enables the deployment of relatively low-cost wireless sensor networks composed of MEMS microphone arrays for accurate sound source localization. However, the evaluation and the selection of the most accurate and power-efficient network’s topology are not trivial when considering dynamic MEMS microphone arrays. Although software simulators are usually considered, they consist of high-computational intensive tasks, which require hours to days to be completed. In this paper, we present an FPGA-based platform to emulate a network of microphone arrays. Our platform provides a controlled simulated acoustic environment, able to evaluate the impact of different network configurations such as the number of microphones per array, the network’s topology, or the used detection method. Data fusion techniques, combining the data collected by each node, are used in this platform. The platform is designed to exploit the FPGA’s partial reconfiguration feature to increase the flexibility of the network emulator as well as to increase performance thanks to the use of the PCI-express high-bandwidth interface. On the one hand, the network emulator presents a higher flexibility by partially reconfiguring the nodes’ architecture in runtime. On the other hand, a set of strategies and heuristics to properly use partial reconfiguration allows the acceleration of the emulation by exploiting the execution parallelism. Several experiments are presented to demonstrate some of the capabilities of our platform and the benefits of using partial reconfiguration.

scholarly journals Using a Planar Array of MEMS Microphones to Obtain Acoustic Images of a Fan Matrix

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Lara del Val ◽  
Alberto Izquierdo ◽  
Juan José Villacorta ◽  
Luis Suárez
Keyword(s):  
Microelectromechanical Systems ◽  
Processing System ◽  
Signal Acquisition ◽  
Acoustic Images ◽  
Mems Microphone ◽  
The Matrix ◽  
Planar Array ◽  
Mems Microphones ◽  
The Individual ◽  
Signal Acquisition And Processing

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.

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.

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.

An Alternate Geometry for a Piezoelectric MEMS Microphone, Part I: Design and Analysis

2007 ◽  
Author(s):  
Robert Littrell ◽  
Lei Cheng ◽  
Karl Grosh
Keyword(s):  
Microelectromechanical Systems ◽  
Complete Analysis ◽  
Noise Levels ◽  
Noise Characteristics ◽  
Mems Microphone ◽  
Mems Technology ◽  
Mems Microphones ◽  
Similar Materials ◽  
Piezoelectric Mems ◽  
Sensor Geometry

Microphones fabricated using microelectromechanical systems (MEMS) technology are one of the fastest growing applications of MEMS. While most commercial MEMS microphones are sensed capacitively, piezoelectric MEMS microphones require less accompanying electronics and offer increased linearity. Currently, piezoelectric MEMS microphones suffer from high noise levels, limiting their applicability. This paper presents an alternative sensor geometry consisting of a cantilever beam electrostatically clamped to the center of a diaphragm that both favorably concentrates stress from the applied acoustic load and eliminates the deleterious effects of residual stress in the piezoelectric material. A complete analysis of the sensitivity and noise characteristics of the electromechanical design (including the amplifying electronics) is performed and compared to a design employing a piezoelectric layer on a diaphragm. The analysis has shown that the proposed geometry can be used to build microphones sensed via aluminum nitride with noise levels around 48 dBA while similar materials and sizes result in noise levels around 57 dBA using the standard geometry.

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