Direction of arrival estimation for spherical microphone arrays by combination of independent component analysis and sparse recovery

2013 ◽  
Author(s):  
Tahereh Noohi ◽  
Nicolas Epain ◽  
Craig T. Jin
Keyword(s):  
Independent Component Analysis ◽  
Direction Of Arrival ◽  
Component Analysis ◽  
Sparse Recovery ◽  
Independent Component ◽  
Microphone Arrays ◽  
Direction Of Arrival Estimation ◽  
Spherical Microphone Arrays

scholarly journals Underdetermined DOA Estimation via Independent Component Analysis and Time-Frequency Masking

2010 ◽  
Vol 2010 ◽  
pp. 1-7 ◽  
Author(s):  
Peter Jančovič ◽  
Xin Zou ◽  
Münevver Köküer
Keyword(s):  
Independent Component Analysis ◽  
Direction Of Arrival ◽  
Doa Estimation ◽  
Component Analysis ◽  
Independent Component ◽  
Speech Signals ◽  
Dominant Source ◽  
Time Frequency ◽  
Real Environment

This paper presents an algorithm for the estimation of the direction of arrival (DOA) in underdetermined situations, that is, there is more sources than sensors. The algorithm performs the estimation in an iterative manner, each iteration consists of two-steps: first estimation of the DOA of a dominant source via the Independent Component Analysis and then removal of the detected source from the mixture via time-frequency masking. Experiments, performed using speech signals mixed in real environment when only two microphones are used but three and four sources are present, demonstrate that the proposed algorithm can estimate the DOAs more accurately than two previously used underdetermined DOA algorithms.

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