Enhanced MVDR Beamforming for MEMS Microphone Array

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F15%3A43874021" target="_blank" >RIV/70883521:28140/15:43874021 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Enhanced MVDR Beamforming for MEMS Microphone Array

Original language description

Microphone array technology has been widely used for the localization of sound sources. In particular, beamforming is a well-established signal processing method that maps the position of acoustic sources by steering the array transducers toward different directions. In this paper an implementation of DAS and MVDR beamforming were chosen for further simulations and testing, based on the terms of capabilities of MEMS microphone array. Both beamformers were extensively simulated and tested in Matlab. Theresults were used to compare the two beamformers based on their noise cancelling, frequency range and spatial filtration. The goal of this paper is comparing the accuracy of the MEMS embedded localization system when the different beamforming algorithmsare used.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JB - Sensors, detecting elements, measurement and regulation

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2015

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

International Journal of Neural Networks and Advanced Applications

ISSN

2313-0563

e-ISSN

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Volume of the periodical

2015, 2

Issue of the periodical within the volume

2

Country of publishing house

US - UNITED STATES

Number of pages

5

Pages from-to

42-46

UT code for WoS article

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EID of the result in the Scopus database

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