Enhanced MVDR Beamforming for MEMS Microphone Array

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Enhanced MVDR Beamforming for MEMS Microphone Array

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Enhanced MVDR Beamforming for MEMS Microphone Array

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JB - Senzory, čidla, měření a regulace

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

International Journal of Neural Networks and Advanced Applications

ISSN

2313-0563

e-ISSN

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Svazek periodika

2015, 2

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

5

Strana od-do

42-46

Kód UT WoS článku

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EID výsledku v databázi Scopus

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