Noise robust blind system identification using LMS method
Masato Oshiro, Hiroshi Ochi · 2002
In this paper, 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 in terms of unknown systems and the correlation function of received signals. In addition, we propose a recursive algorithm using LMS method. As well as the derivation of algorithm, some computer simulations are also shown.