Near-field localization algorithm of multiple sound sources based on approximated kernel density estimator

For near-field localization of multiple sound sources in reverberant environments,a algorithm model based on approximated kernel density estimator (KDE) was proposed.Multi-stage (MS) of sub-band processing was introduced to effectively solve the spatial aliasing by wide spacing.Spatial likelihood fu...

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Main Authors: Yu-zhuo FANG, Zhi-yong XU, Zhao ZHAO
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2017-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017013/
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author Yu-zhuo FANG
Zhi-yong XU
Zhao ZHAO
author_facet Yu-zhuo FANG
Zhi-yong XU
Zhao ZHAO
author_sort Yu-zhuo FANG
collection DOAJ
description For near-field localization of multiple sound sources in reverberant environments,a algorithm model based on approximated kernel density estimator (KDE) was proposed.Multi-stage (MS) of sub-band processing was introduced to effectively solve the spatial aliasing by wide spacing.Spatial likelihood function (SLF) was built for multi-dimensional fusion by using two operators,sum (S) and prod (P).Then four algorithms,S-KDE,P-KDE,S-KDEMS,P-KDEMS,were derived.By the comprehensive comparison of the two statistical indicators root mean square error (RMSE) and percentage of SLF (PSLF) which denoted the recognition,P-KDEMS is confirmed as a near-field localization algorithm of multiple sound sources with high robustness and recognition.
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institution Kabale University
issn 1000-436X
language zho
publishDate 2017-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-38c4fee8257d4b9aa85330f59e4e84832025-01-14T07:11:29ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-01-013810611659706762Near-field localization algorithm of multiple sound sources based on approximated kernel density estimatorYu-zhuo FANGZhi-yong XUZhao ZHAOFor near-field localization of multiple sound sources in reverberant environments,a algorithm model based on approximated kernel density estimator (KDE) was proposed.Multi-stage (MS) of sub-band processing was introduced to effectively solve the spatial aliasing by wide spacing.Spatial likelihood function (SLF) was built for multi-dimensional fusion by using two operators,sum (S) and prod (P).Then four algorithms,S-KDE,P-KDE,S-KDEMS,P-KDEMS,were derived.By the comprehensive comparison of the two statistical indicators root mean square error (RMSE) and percentage of SLF (PSLF) which denoted the recognition,P-KDEMS is confirmed as a near-field localization algorithm of multiple sound sources with high robustness and recognition.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017013/microphone arrayapproximated kernel density estimatormulti-stage of sub-band processingspatial likeli-hood functiondata fusion
spellingShingle Yu-zhuo FANG
Zhi-yong XU
Zhao ZHAO
Near-field localization algorithm of multiple sound sources based on approximated kernel density estimator
Tongxin xuebao
microphone array
approximated kernel density estimator
multi-stage of sub-band processing
spatial likeli-hood function
data fusion
title Near-field localization algorithm of multiple sound sources based on approximated kernel density estimator
title_full Near-field localization algorithm of multiple sound sources based on approximated kernel density estimator
title_fullStr Near-field localization algorithm of multiple sound sources based on approximated kernel density estimator
title_full_unstemmed Near-field localization algorithm of multiple sound sources based on approximated kernel density estimator
title_short Near-field localization algorithm of multiple sound sources based on approximated kernel density estimator
title_sort near field localization algorithm of multiple sound sources based on approximated kernel density estimator
topic microphone array
approximated kernel density estimator
multi-stage of sub-band processing
spatial likeli-hood function
data fusion
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017013/
work_keys_str_mv AT yuzhuofang nearfieldlocalizationalgorithmofmultiplesoundsourcesbasedonapproximatedkerneldensityestimator
AT zhiyongxu nearfieldlocalizationalgorithmofmultiplesoundsourcesbasedonapproximatedkerneldensityestimator
AT zhaozhao nearfieldlocalizationalgorithmofmultiplesoundsourcesbasedonapproximatedkerneldensityestimator