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Noise robust blind system identification using second order statistics

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2 Author(s)
Oshiro, M. ; Fac. of Inf. Eng., Kyushu Inst. of Technol., Fukuoka, Japan ; Ochi, H.

We propose a noise robust blind system identification scheme using second order statistics. This technique makes use of a single-input triple-outputs (SITO) model and the correlation function of received signal. In addition, we propose a recursive algorithm using the RLS method. As well as the derivation of algorithm, some computer simulation are also shown.

Published in:

Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on  (Volume:2 )

Date of Conference:

24-27 Oct. 1999

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