Abstract | ||
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In this paper, we propose an estimation technique for rapidly time-varying channels. We approximate the time-varying channel using the basis expansion model (BEM). The BEM coefficients of the channel are needed to design channel equal- izers. We rely on pilot symbol assisted modulation (PSAM) to estimate the channel (or the BEM coefficients of the chan- nel). We first derive the optimal minimum mean-square error (MMSE) interpolation based channel estimation technique. We then derive the BEM channel estimation, where only the BEM coefficients are estimated. We consider a BEM with a critically sampled Doppler spectrum, as well as a BEM with an oversampled Doppler spectrum. It has been shown that, while the first suffers from an error floor due to a model- ing error, the latter is sensitive to noise. A robust channel estimation can then be obtained by combining the MMSE in- terpolation based channel estimation and the BEM channel estimation technique. Through computer simulations, it is shown that the resulting algorithm provides a significant gain when an oversampled Doppler spectrum is used (an oversam- pling rate equal to 2 appears to be sufficient), while only a slight improvement is obtained when the critically sampled Doppler spectrum is used. |
Year | Venue | Keywords |
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2005 | EUSIPCO | channel estimation,equalisers,interpolation,least mean squares methods,time-varying channels,bem channel estimation,bem coefficient,doppler spectrum,mmse estimation,mmse interpolation,psam,basis expansion model,channel equalizer,channel estimation technique,minimum mean-square error interpolation,pilot symbol assisted modulation,time-varying channel |
Field | DocType | ISBN |
Digital signal processing,Wireless,Oversampling,Control theory,Signal-to-noise ratio,Interpolation,Communication channel,Modulation,Doppler effect,Mathematics | Conference | 978-160-4238-21-1 |
Citations | PageRank | References |
9 | 0.68 | 8 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
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Imad Barhumi | 1 | 568 | 37.93 |
G. Leus | 2 | 4344 | 307.24 |
Marc Moonen | 3 | 377 | 46.79 |