Passive acoustic localization based on MEMS microphone arrays

Dai Ximing; Lou Wenzhong; Guo Mingru; Wang Fufu; Jin Xin

doi:10.4028/www.scientific.net/KEM.645-646.517

Passive acoustic localization based on MEMS microphone arrays

Dai Ximing^*, Lou Wenzhong, Guo Mingru, Wang Fufu, Jin Xin

^*Corresponding author for this work

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	517-521
Number of pages	5
Journal	Key Engineering Materials
Volume	645
DOIs	https://doi.org/10.4028/www.scientific.net/KEM.645-646.517
Publication status	Published - 1 May 2015

Keywords

GCC
MEMS microphone
Passive acoustic localization
TDOA

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10.4028/www.scientific.net/KEM.645-646.517

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title = "Passive acoustic localization based on MEMS microphone arrays",

abstract = "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.",

keywords = "GCC, MEMS microphone, Passive acoustic localization, TDOA",

author = "Dai Ximing and Lou Wenzhong and Guo Mingru and Wang Fufu and Jin Xin",

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AU - Ximing, Dai

AU - Wenzhong, Lou

AU - Mingru, Guo

AU - Fufu, Wang

AU - Xin, Jin

N1 - Publisher Copyright: © (2015) Trans Tech Publications, Switzerland.

PY - 2015/5/1

Y1 - 2015/5/1

N2 - 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.

AB - 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.

KW - GCC

KW - MEMS microphone

KW - Passive acoustic localization

KW - TDOA

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SN - 1013-9826

VL - 645

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EP - 521

JO - Key Engineering Materials

JF - Key Engineering Materials

ER -

Passive acoustic localization based on MEMS microphone arrays

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Keywords

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