Blind source extraction of periodic signals

Authors:
Foad Ghaderi;Hamid R. Mohseni;John G. McWhirter;Saeid Sanei
Affiliations:
Centre of Digital Signal Processing, School of Engineering, Cardiff University, UK;Centre of Digital Signal Processing, School of Engineering, Cardiff University, UK;Centre of Digital Signal Processing, School of Engineering, Cardiff University, UK;Centre of Digital Signal Processing, School of Engineering, Cardiff University, UK
Venue:
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Year:
2009

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Extraction of a cyclostationary source using a new cost function without pre-whitening

Signal Processing

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Abstract

A new algorithm is developed here for blind extraction of periodic signals. It is assumed that the fundamental frequencies of the sources (or alternatively one of the harmonics for each source) are known a priori. Necessary and sufficient conditions for blind source extraction of cyclostationary signals are introduced and the optimization problem is solved using steepest descent method for complex matrices. Computer simulation results verify the effectiveness and good performance of the algorithm.