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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.