Title :
Blind identification and equalization of minimum-phase channels
Author :
An, Senjian ; Hua, Yingbo
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Vic., Australia
fDate :
6/23/1905 12:00:00 AM
Abstract :
In this paper, a second order statistics based technique of blind identification and equalization is proposed for minimum phase channels driven by stochastically independent colored signals. Sufficient identifiability conditions are given. Unlike most existing blind identification methods, this method does not require the number of sensors to be greater than the number of source signals. Simulation results are given to demonstrate the performance of the proposed algorithm
Keywords :
MIMO systems; blind equalisers; deconvolution; identification; statistical analysis; telecommunication channels; FIR channels; MIMO channels; blind equalization; blind identification; blind signal separation; channel estimation; deconvolution; minimum phase channels; second order statistics technique; stochastically independent colored signals; sufficient identifiability conditions; Australia; Blind equalizers; Blind source separation; Decorrelation; Finite impulse response filter; MIMO; Polynomials; Signal processing; Speech enhancement; Statistics;
Conference_Titel :
Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on
Print_ISBN :
0-7803-7011-2
DOI :
10.1109/SSP.2001.955273
