DocumentCode
2148902
Title
Joint DOA and TDOA estimation for 3D localization of reflective surfaces using eigenbeam MVDR and spherical microphone arrays
Author
Haohai Sun ; Mabande, Edwin ; Kowalczyk, Konrad ; Kellermann, Walter
Author_Institution
Dept. of Elec. & Telecommun., Norwegian Univ. of Sci. & Tech., Trondheim, Norway
fYear
2011
fDate
22-27 May 2011
Firstpage
113
Lastpage
116
Abstract
Methods of 3D direction of arrival (DOA) estimation, coherent source detection and reflective surface localization are studied, based on recordings by a spherical microphone array. First, the spherical harmonics domain minimum variance distortionless response (EB-MVDR) beamformer is employed for the localization of broadband coherent sources, which is characterized by simpler frequency focusing matrices than the corresponding element-space implementation, and by a higher resolution than conventional spherical array beamformers. After the DOA estimation step, the source signals are extracted by EB-MVDRs. Then, by computing the crosscorrelation functions between the extracted signals, the coherent sources are detected and their time differences of arrival (TDOA) are estimated. Given the positions of the array and the reference source, and the estimated DOA and TDOA of the coherent sources, the positions of the major reflectors can be inferred. Experimental results in a real room validate the proposed method.
Keywords
array signal processing; audio signal processing; direction-of-arrival estimation; eigenvalues and eigenfunctions; microphone arrays; 3D localization; TDOA estimation; beamforming; direction of arrival estimation; eigenbeam MVDR; minimum variance distortionless response; reflective surfaces; spherical microphone arrays; time differences of arrival; Array signal processing; Covariance matrix; Direction of arrival estimation; Harmonic analysis; Microphone arrays; Reflection; DOA; Spherical microphone array; TDOA; localization of reflectors; spherical harmonics;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location
Prague
ISSN
1520-6149
Print_ISBN
978-1-4577-0538-0
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2011.5946341
Filename
5946341
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