DocumentCode :
3371555
Title :
Blind estimation and equalization of time-varying channels using the interacting multiple model estimator
Author :
Kamran, Ziauddin M. ; Kirubarajan, T. ; Gershman, Alex B.
Author_Institution :
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada
Volume :
5
fYear :
2004
fDate :
23-26 May 2004
Abstract :
This work presents an adaptive multiple model blind equalization algorithm based on the interacting multiple model (IMM) estimator to estimate the channel and the transmitted sequence corrupted by intersymbol interference (ISI) and noise. A computationally feasible implementation based on a weighted sum of Gaussian approximation of the density functions of the data signals is introduced. The proposed method avoids the exponential growth of the number of terms used in the weighted Gaussian sum approximation of the plant noise making it practical for real-time processing. Simulations demonstrate that the proposed IMM equalizer yield substantially improved performance compared with the recently proposed equalizer based on a (non-interacting) network of extended Kalman filters.
Keywords :
Gaussian noise; Kalman filters; blind equalisers; blind source separation; channel estimation; intersymbol interference; time-varying channels; Gaussian approximation; Kalman filters; adaptive multiple model blind equalization algorithm; blind estimation; channel estimation; data signals; density functions; interacting multiple model estimator; intersymbol interference; real-time processing; time-varying channels; Baseband; Bayesian methods; Blind equalizers; Channel estimation; Computational modeling; Decision feedback equalizers; Density functional theory; Intersymbol interference; State estimation; Time-varying channels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on
Print_ISBN :
0-7803-8251-X
Type :
conf
DOI :
10.1109/ISCAS.2004.1329447
Filename :
1329447
Link To Document :
بازگشت