The multi-channel adaptive canceller with blind disturbances separation
in reference channels
A. E. Manokhin
Ural
Federal University, Institute of radio electronics and information
technologies, faculty of radio electronic and telecommunication systems,
Ekaterinburg
The paper is received on October 15, 2014
Abstract: In the paper the multichannel adaptive
canceller with blind disturbances separation in reference channels is presented.
Thanks to disturbances separation conditionality of a disturbances correlation
matrix improves, and convergence rate of least mean square algorithm increases.
Thus using modified
Jutten–Herault algorithm the gain of convergence rate equals not less than 6 times.
Key words: blind sources separation,
multichannel adaptive canceller, modified Jutten–Herault algorithm, convergence
rate.