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Quadratic and Linear Filters for Mobile Radio Channel Prediction
Torbjörn Ekman,
Gernot Kubin (TU Vienna),
Mikael Sternad
and
Anders Ahlén
IEEE Vehicular Technology Conference - VTC'99-Fall
Amsterdam, The Netherlands, September 19-22 1999,
pp. 146-150.
© 1999 IEEE
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Abstract:
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Using a simple channel model for the multipath mobile radio channel, a
nonlinear approach to long-range prediction of fading radio channels is
motivated in a scenario with scatterers close to the mobile station.
The performance of linear and quadratic predictors is evaluated on
wideband
(6.4 MHz) measurements in the 1800 MHz band. The predictors are
applied on estimated complex channel taps to find practical measures
on the achievable prediction gain for different prediction
horizons. Quadratic predictors, in the form of quadratic Volterra
filters, are found to have good modeling properties, but very poor
generalization properties as compared to linear predictors.
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Related publications:
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PhD Thesis by Torbjörn
Ekman, Oct. 2002.
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VTC01s paper on linear prediction performance
on 45 measured channels.
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Licenciate Thesis
by Torbjörn Ekman.
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Licenciate Thesis by Nilo C. Ericsson.
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Source:
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Extended and revised version of conference paper in
Pdf, 282K
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Wireless IP project
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Research on adaptation and tracking
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In list of publications
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