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Blind channel identification using RLS method based on second-order statistics

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3 Author(s)
Kimura, T. ; R&D Lab., Kyushu Matsushita Electr. Co. Ltd., Japan ; Sasaki, H. ; Ochi, H.

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

Published in:

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on  (Volume:4 )

Date of Conference:

15-19 Mar 1999