Title :
Noise robust blind system identification using LMS method
Author :
Oshiro, Mirai ; Ochi, Hiroshi
Author_Institution :
Fac. of Inf. Eng, Kyushu Inst. of Technol., Fukuoka, Japan
Abstract :
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
Keywords :
blind equalisers; correlation methods; identification; least mean squares methods; random noise; statistical analysis; uncertain systems; LMS method; SITO model; computer simulation; correlation function; noise robust blind system identification; received signal; recursive algorithm; second-order statistics; unknown system; Additive noise; Bandwidth; Computer simulation; Hydrogen; Interference constraints; Intersymbol interference; Least squares approximation; Noise robustness; System identification; Waste handling;
Conference_Titel :
Circuits and Systems, 2000. Proceedings of the 43rd IEEE Midwest Symposium on
Conference_Location :
Lansing, MI
Print_ISBN :
0-7803-6475-9
DOI :
10.1109/MWSCAS.2000.952891
