In this paper, we show a new blind identification algorithm which is based on second order statistics and exploits a single-input double-output (SIDO) model. It is suitable for a real-time processing system because of lower operation and high-speed convergence. The proposed blind identification algorithm is superior to conventional algorithms in view of simple structure and the uniqueness of solution. We also verify its efficiency by computer simulation.
['Takashi Kimura', 'Hideaki Sasaki', 'Hiroshi Ochi']
Blind channel identification using RLS method based on second-order statistics