Title :
Blind separation of complex I/Q independent sources with phase recovery
Author :
He, Lin ; Thaiupathump, Trasapong ; Kassam, Saleem A.
Author_Institution :
Dept. of Electr. & Syst. Eng., Univ. of Pennsylvania, Philadelphia, PA, USA
fDate :
5/1/2005 12:00:00 AM
Abstract :
Blind source separation (BSS) techniques allow recovery of individual source signals from observed mixtures, exploiting only the assumption of mutual independence of sources. Generally, complex signals are recovered with an arbitrary phase rotation. In this letter, we propose two BSS algorithms to separate complex sources that have independent in-phase and quadrature (I/Q) parts. The proposed algorithms allow source phase recovery as well as separation. Simulation results demonstrate that the algorithms are effective in recovering source phases without affecting source separation.
Keywords :
adaptive signal processing; blind source separation; signal reconstruction; BSS; adaptive signal processing; arbitrary phase rotation; blind source separation; complex I/Q independent sources; in-phase-quadrature; phase recovery; Blind source separation; Helium; Modeling; Phase shift keying; Probability distribution; Quadrature amplitude modulation; Signal processing algorithms; Source separation; Systems engineering and theory; Vectors; Adaptive signal processing; blind source separation (BSS); phase recovery;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2005.845601