DocumentCode :
1748508
Title :
Adaptive local exponential bases for estimation of linear time-varying channels
Author :
Narasimhan, Ravi
Author_Institution :
Marvell Semicond. Inc., Sunnyvale, CA, USA
Volume :
10
fYear :
2001
fDate :
2001
Firstpage :
3097
Abstract :
A new non-parametric method is presented for the estimation of linear time-varying (LTV) channels. A basis of smooth local exponentials, which are approximate eigenfunctions of underspread LTV channels, is chosen to select time intervals during which the time variation of the channel is small. The time-varying transfer function is expanded in the basis of smooth local exponentials to obtain an estimate of the time-varying impulse response. Simulations for mobile radio channels demonstrate robust tracking of the time-varying channel for a large range of mobile speeds
Keywords :
adaptive estimation; eigenvalues and eigenfunctions; mobile radio; multipath channels; nonparametric statistics; time-varying channels; transfer functions; adaptive local exponential bases; approximate eigenfunctions; channel estimation; linear time-varying channels; mobile radio channels; nonparametric method; robust tracking; smooth local exponentials; time-varying impulse response; time-varying transfer function; underspread channels; Baseband; Covariance matrix; Eigenvalues and eigenfunctions; Fading; Intersymbol interference; Land mobile radio; Least squares approximation; Robustness; Time-varying channels; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2001. ICC 2001. IEEE International Conference on
Conference_Location :
Helsinki
Print_ISBN :
0-7803-7097-1
Type :
conf
DOI :
10.1109/ICC.2001.937242
Filename :
937242
Link To Document :
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