DocumentCode :
3156845
Title :
Regularized linear equalization for multipath channels with imperfect channel estimation
Author :
Tong, Jun ; Schreier, Peter J.
Author_Institution :
Signal & Syst. Theor. Group, Univ. Paderborn, Paderborn, Germany
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
3009
Lastpage :
3012
Abstract :
This paper deals with different techniques for linear equalization of multipath channels with imperfect channel estimation (CE). We develop a unified framework based on Krylov subspace expansion, which allows us to compare the performance of the conjugate gradient (CG) method, diagonal loading (DL), and a hybrid scheme. Our analysis shows that the DL method generally outperforms its alternatives, but at the cost of higher complexity. However, we also demonstrate that a proper implementation of the low-complexity CG method can also approach the performance of DL. Finally, we show that preconditioning degrades performance when the CE is poor.
Keywords :
channel estimation; conjugate gradient methods; equalisers; multipath channels; CG method; Krylov subspace expansion; conjugate gradient method; diagonal loading; imperfect channel estimation; multipath channels; regularized linear equalization; Channel estimation; Complexity theory; Covariance matrix; Loading; Multipath channels; Noise; Vectors; Conjugate gradient (CG); Krylov subspace; diagonal loading (DL); equalization; imperfect channel estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1520-6149
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2012.6288548
Filename :
6288548
Link To Document :
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