Title :
Noise robust blind system identification using second order statistics
Author :
Oshiro, Mirai ; Ochi, Hiroshi
Author_Institution :
Fac. of Inf. Eng., Kyushu Inst. of Technol., Fukuoka, Japan
Abstract :
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.
Keywords :
blind equalisers; correlation methods; identification; interference suppression; intersymbol interference; least squares approximations; noise; recursive estimation; statistical analysis; ISI suppression; RLS method; SITO model; channel equalization; computer simulation; correlation function; high speed digital communication; intersymbol interference; multipath effects; noise robust blind system identification; received signal; recursive algorithm; second order statistics; single-input triple-outputs model; Additive noise; Bandwidth; Computer simulation; Interference constraints; Intersymbol interference; Least squares approximation; Noise robustness; Resonance light scattering; Statistics; System identification;
Conference_Titel :
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5700-0
DOI :
10.1109/ACSSC.1999.831866
