Paper Info
Title
Direction of arrival estimation for spherical microphone arrays by combination of independent component analysis and sparse recovery
Abstract
Spherical microphone arrays provide a powerful tool for examining source localization and direction of arrival (DOA) estimation in the spherical harmonic domain. In previous work, we have investigated applying instantaneous independent component analysis (ICA) or sparse recovery separately in the spherical harmonic domain for DOA estimation. These algorithms work reasonably well, but rely on different signal characteristics: namely statistical independence or the spatial distribution of sources. In this paper, we describe methods to combine the ICA and sparse recovery algorithms to improve DOA estimation. The simulation results indicate that combining ICA and sparse recovery leads to more robust DOA estimation.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6637666
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
array signal processing,compressed sensing,direction-of-arrival estimation,independent component analysis,microphone arrays,DOA estimation,ICA algorithm,direction of arrival estimation,independent component analysis,source localization estimation,sparse recovery algorithm,spatial source distribution,spherical harmonic domain,spherical microphone array,statistical independence,Compressed sensing,Direction of-arrival estimation,Independent component analysis,Spherical microphone arrays
Pattern recognition,Computer science,Direction of arrival,Spherical harmonics,Source localization,Artificial intelligence,Independent component analysis,Microphone,Compressed sensing,Independence (probability theory)
Conference
ISSN
Citations 
PageRank 
1520-6149
7
0.55
References 
Authors
5
3
Name
Order
Citations
PageRank
Tahereh Noohi181.60
Nicolas Epain2556.70
Craig T. Jin3162.60