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Journal of Electrical and Computer Engineering
Volume 2010 (2010), Article ID 450487, 7 pages
Research Article

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

School of Electronic, Electrical & Computer Engineering, University of Birmingham, Birmingham, B15 2TT, UK

Received 22 March 2010; Revised 22 June 2010; Accepted 20 July 2010

Academic Editor: Ioan Tabus

Copyright © 2010 Peter Jančovič et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.