DocumentCode :
2026436
Title :
Parametric Versus Nonparametric Data-Aided Channel Estimation in a Multipath Fading Environment
Author :
Van Welden, D. ; Moeneclaey, M. ; Steendam, H.
Author_Institution :
DIGCOM Res. Group, Ghent Univ.
fYear :
2006
fDate :
23-23 Nov. 2006
Firstpage :
25
Lastpage :
28
Abstract :
This paper compares a parametric and a nonparametric channel estimation method in a multipath fading environment. In the parametric method the gains and delays are estimated and these estimates are used to compute the samples of the received symbol pulse. In the nonparametric method the samples of the received pulse are estimated directly, ignoring the underlying multipath channel structure. We compare these two channel estimation methods in terms of accuracy (characterized by the MSE on the samples of the received pulse) and computational complexity. We also investigate the influence of channel estimation errors on the BER of a decision feedback equalizer
Keywords :
channel estimation; decision feedback equalisers; error statistics; fading channels; mean square error methods; multipath channels; BER; MSE; decision feedback equalizer; multipath fading environment; nonparametric data-aided channel estimation; received symbol pulse; Bit error rate; Channel estimation; Computational complexity; Decision feedback equalizers; Delay estimation; Fading; Iterative algorithms; Maximum likelihood estimation; Multipath channels; Yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Vehicular Technology, 2006 Symposium on
Conference_Location :
Liege
Print_ISBN :
0-7803-9785-1
Electronic_ISBN :
0-7803-9785-1
Type :
conf
DOI :
10.1109/SCVT.2006.334354
Filename :
4133797
Link To Document :
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