Evaluation of a TDoA based acoustic localization system

Steffes, Christian; Meyer, Lisa

doi:10.1109/sdf.2013.6698255

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Cited by 2 publications

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“…2m/s is the speed of sound in dry air at 20 C [1]. In function (1) there are three unknown various , r  and t  .…”

mentioning

confidence: 99%

Passive Acoustic Localization Based on MEMS Microphone Arrays

Dai

Lou

Guo

et al. 2015

KEM

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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.

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“…2m/s is the speed of sound in dry air at 20 C [1]. In function (1) there are three unknown various , r  and t  .…”

mentioning

confidence: 99%

Passive Acoustic Localization Based on MEMS Microphone Arrays

Dai

Lou

Guo

et al. 2015

KEM

View full text Add to dashboard Cite

show abstract

Speaker tracking based on microphone cross arry in the smart conference system

Ximing¹,

Lou²,

Liu³

et al. 2014

2014 IEEE International Conference on Consumer Electronics - China

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The problem of estimating speaker location in smart conference video system is considered. In this paper, a fourmicrophone cross array is constructed to localize speakers 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 build to confirm the feasibility of the hyperbola model and GCC algorithm. 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 speaker.

show abstract

Evaluation of a TDoA based acoustic localization system

Cited by 2 publications

References 6 publications

Passive Acoustic Localization Based on MEMS Microphone Arrays

Passive Acoustic Localization Based on MEMS Microphone Arrays

Speaker tracking based on microphone cross arry in the smart conference system

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