基于近似核密度估计的近场多声源定位算法

doi:10.11959/j.issn.1000-436x.2017013

Abstract

Abstract:

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.

Key words: microphone array, approximated kernel density estimator, multi-stage of sub-band processing, spatial likeli-hood function, data fusion

CLC Number:

TN911.72

Yu-zhuo FANG,Zhi-yong XU,Zhao ZHAO. Near-field localization algorithm of multiple sound sources based on approximated kernel density estimator[J]. Journal on Communications, 2017, 38(1): 106-116.

Figures/Tables 11

References 16

[1]	WU K , KHONG A W H . Sound source localization and tracking[M]// Context Aware Human-Robot and Human-Agent Interaction. Springer International Publishing, 2016: 55-78.
[2]	KNAPP C H , CARTER G C . The generalized correlation method for estimation of time delay[J]. IEEE Transactions on Acoustics,Speech,and Signal Processing, 1976,24(4): 320-327.
[3]	BRANDSTEIN M S , SILVERMAN H F . A practical methodology for speech source localization with microphone arrays[J]. Computer Speech and Language, 1997,11(2): 91-126.
[4]	RABINKIN D V , RANOMERON R J , DAHL A ,et al. A DSP implementation of source location using microphone arrays[J]. Journal of the Acoustical Society of America, 1996,99(4): 88-99.
[5]	WARD D B , WILLIAMSON R C . Particle filter beamforming for acoustic source localization in a reverberant environment[C]// 2002 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP). Orlando,USA, 2002: 1777-1788.
[6]	DIBIASE J H . A high-accuracy,low-latency technique for talker localization in reverberant environments using microphone arrays[D]. Brown University, 2000: 73-105.
[7]	PERTIL? P , KORHONEN T , VISA A . Measurement combination for acoustic source localization in a room environment[J]. EURASIP Journal on Audio Speech and Music Processing, 2008,2008: 1-14.
[8]	TSIAMI A , KATSAMANIS A , MARAGOS P ,et al. .Experiments in acoustic source localization using sparse arrays in adverse indoors environments[C]// 2014 European Signal Processing Conference (EUSIPCO). Lisbon,Portugal, 2014: 2390-2394.
[9]	XU Z Y , ZHAO Z , LIU M . Real-time unambiguous passive direction finding for multiple sound sources with widely spaced microphone array[J]. Journal of Electronics ＆ Information Technology, 2011,33(9): 2056-2061.
[10]	NESTA F , OMOLOGO M . Generalized state coherence transform for multidimensional TDOA estimation of multiple sources[J]. IEEE Transactions on Audio,Speech,and Language Processing, 2012,20(1): 246-260.
[11]	BRUTTI A , NESTA F . Tracking of multidimensional TDOA for multiple sources with distributed microphone pairs[J]. Computer Speech and Language, 2013,27(3): 660-682.
[12]	YILMAZ O , RICKARD S . Blind separation of speech mixtures via time-frequency masking[J]. IEEE Transactions on Signal Processing, 2004,52(7): 1830-1847.
[13]	REDDY V V , KHONG W H , NG B P . Unambiguous speech DOA estimation under spatial aliasing conditions[J]. IEEE Transactions on Audio,Speech,and Language Processing, 2014,22(12): 2133-2145.
[14]	MOHAN S , LOCKWOOD M E , KRAMER M L ,et al. Localization of multiple acoustic sources with small arrays using a coherence test[J]. Journal of the Acoustical Society of America, 2008,123(4): 2136-2147.
[15]	GUSTAFFSON T , RAO B D , TRIVEDI M . Source localization in reverberant environments:modeling and statistical analysis[J]. IEEE Transactions on Speech and Audio Processing, 2003,11(6): 791-803.
[16]	LEHMANN E and JOHANSSON A . Prediction of energy decay in room impulse responses simulated with an image-source model[J]. Journal of the Acoustical Society of America, 2008,124(1): 269-277.

Metrics

Recommended 0

No Suggested Reading articles found!

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

RichHTML

PDF

Knowledge

Cited

Abstract

Cite this article

share this article

Figures/Tables 11

References 16

Related Articles 15

Metrics

Recommended 0

[1]	Zhijin QIN, Tantan ZHAO, Fan LI, Xiaoming TAO. Survey of research on multimodal semantic communication [J]. Journal on Communications, 2023, 44(5): 28-41.
[2]	Mu ZHOU,Bin WANG,Zeng-shan TIAN,Qian-kun ZHANG. Indoor BLE and MEMS based multi-floor fusion positioning algorithm [J]. Journal on Communications, 2017, 38(5): 1-10.
[3]	Jian ZHOU,Chen-hao MA,Lin-feng LIU,Li-juan SUN,Fu XIAO. Multi-sensor data fusion method for water quality evaluation based on interval evidence theory [J]. Journal on Communications, 2016, 37(9): 20-29.
[4]	Tao WEN,Yu-qing ZHANG,Qi-xu LIU,Gang YANG. UVDA:design and implementation of automation fusion framework of heterogeneous security vulnerability database [J]. Journal on Communications, 2015, 36(10): 235-244.
[5]	. Improved cooperative spectrum sensing scheme based on dempster-shafer theory in cognitive radio network [J]. Journal on Communications, 2014, 35(3): 19-173.
[6]	Mei-ting YU,Lin-jing ZHAO,Zhao LI. Improved cooperative spectrum sensing scheme based on dempster-shafer theory in cognitive radio network [J]. Journal on Communications, 2014, 35(3): 168-173.
[7]	Li-chun YANG,Min-chao YE,Yun-tao QIAN. Speech enhancement based on multi-task sparse representation for dual small microphone arrays [J]. Journal on Communications, 2014, 35(2): 87-94.
[8]	. Speech enhancement based on multi-task sparse representation for dual small microphone arrays [J]. Journal on Communications, 2014, 35(2): 12-94.
[9]	Jun YUE,Wei-ming ZHANG,Wei-dong XIAO,Da-quan TANG,Jiu-yang TANG. Structure-free and dynamic-adaptive data fusion algorithm for wireless sensor networks [J]. Journal on Communications, 2012, 33(9): 53-65.
[10]	Xiao-rong XU,Ai-ping HUANG,Jian-wu ZHANG. Novel data fusion strategy based on Bayesian compressive sensing in cognitive WSN [J]. Journal on Communications, 2011, 32(9A): 220-225.
[11]	Peng ZHANG,Jian-ping YU,Hong-wei LIU. Data fusion protocol with source security for sensor networks [J]. Journal on Communications, 2010, 31(11): 87-91.
[12]	Jun-feng TIAN,Hong-tao ZHU,Dong-dong SUN,Zhi-ming BI,Qian LIU. Model of coorperation defense DDoS attack based on client reputation [J]. Journal on Communications, 2009, 30(3): 12-20.
[13]	Yi ZHANG,Fu-liang YIN,Zhe CHEN. Linear correction total least-squares approach to 3D acoustic source localization [J]. Journal on Communications, 2009, 30(12): 106-112.
[14]	Wei LIN,Jie WU,Qin-yu ZHANG,Nai-tong ZHANG. Data fusion for cooperative detection in cognitive radio system [J]. Journal on Communications, 2009, 30(10): 135-139.
[15]	Ling-wen ZHANG,Zhen-hui TAN,Jin-bao ZHANG. Single base station hybrid positioning scheme based on data fusion technique [J]. Journal on Communications, 2008, 29(8): 102-106.