DocumentCode :
1320452
Title :
Multipath Parameter Estimation for PLC Channels Using the GEESE Algorithm
Author :
Kim, Yong-Hwa
Author_Institution :
Korea Electrotechnol. Res. Inst., Ansan, South Korea
Volume :
25
Issue :
4
fYear :
2010
Firstpage :
2339
Lastpage :
2345
Abstract :
We propose a multipath parameter estimation scheme for power-line communication (PLC) channel modeling. In the proposed scheme, we introduce a time-delay estimation scheme and an attenuation factor estimation scheme to analyze multipath parameters. For the time-delay estimation scheme, we employ the generalized eigenvalues utilizing signal subspace eigenvectors (GEESE) algorithm using frequency-domain channel measurements. Before the GEESE algorithm is used, spatial smoothing methods are applied to resolve the different paths in PLC channels. To estimate the attenuation factors, we derive a least-square estimator. Simulation results with theoretical channel models and experimental channel measurements show that the proposed scheme accurately estimates multipath parameters for PLC channel modeling.
Keywords :
carrier transmission on power lines; channel estimation; delay estimation; eigenvalues and eigenfunctions; frequency-domain analysis; least squares approximations; smoothing methods; GEESE algorithm; PLC channel modeling; attenuation factor estimation; attenuation factor estimation scheme; experimental channel measurements; frequency-domain channel measurements; generalized eigenvalues; least-square estimator; multipath parameter estimation scheme; power-line communication channel modelling; signal subspace eigenvector algorithm; spatial smoothing methods; theoretical channel models; time-delay estimation scheme; Attenuation; Channel estimation; Multipath channels; Power line communications; Smoothing methods; Channel estimation; generalized eigenvalues utilizing signal subspace eigenvectors (GEESE); multipath channel model; power-line communication (PLC);
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2010.2043691
Filename :
5570116
Link To Document :
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