DocumentCode :
2923981
Title :
Robust source localization and tracking using MUSIC-Group delay spectrum over spherical arrays
Author :
Kumar, Lalan ; Singhal, Kushagra ; Hegde, Rajesh M.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Kanpur, Kanpur, India
fYear :
2013
fDate :
15-18 Dec. 2013
Firstpage :
304
Lastpage :
307
Abstract :
In this paper, a novel method of robust source localization using MUSIC-Group delay (MUSIC-GD) spectrum computed over spherical harmonic components is described. Our earlier work on the MUSIC-GD spectrum has focused on uniform linear array (ULA) and uniform circular array (UCA) for resolving closely spaced speech sources using minimal number of sensors under reverberant environments. However, this work tries to utilize the advantages of the MUSIC-GD spectrum in a spherical harmonics framework that is computationally simple and more accurate. The MUSIC-GD spectrum for spherical harmonic components is first defined. Its advantages in high resolution DOA estimation are also discussed. Several experiments are conducted for 3-D source localization in reverberant environments and the performance of the MUSIC-GD is compared to other conventional methods. Additional experiments on source tracking are also conducted. The results obtained from the MUSIC-GD computed over spherical arrays are motivating enough to further investigate the method for multiple source tracking in reverberant environments.
Keywords :
array signal processing; direction-of-arrival estimation; microphone arrays; reverberation; signal classification; 3D source localization; DOA estimation; MUSIC-GD spectrum; group delay spectrum; multiple signal classification; reverberant environment; robust source localization method; source tracking method; spherical array; spherical harmonic component; uniform circular array; uniform linear array; Array signal processing; Conferences; Delays; Direction-of-arrival estimation; Harmonic analysis; Microphone arrays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013 IEEE 5th International Workshop on
Conference_Location :
St. Martin
Print_ISBN :
978-1-4673-3144-9
Type :
conf
DOI :
10.1109/CAMSAP.2013.6714068
Filename :
6714068
Link To Document :
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