DocumentCode :
1213479
Title :
Performance of symbol-sampled receivers over unknown continuous-time Rayleigh channels
Author :
Souza, Richard Demo ; Garcia-Frias, Javier
Volume :
4
Issue :
5
fYear :
2005
Firstpage :
2020
Lastpage :
2026
Abstract :
The performance of symbol-sampled receivers is usually evaluated via Forney´s finite impulse response (FIR) model for the equivalent channel [discrete-time transversal filter (DTTF)]. This model contains a matched filter, and, thus, requires prior knowledge of the continuous-time channel-impulse response. Therefore, if the channel is continuous and unknown, it is unrealistic to use the DTTF model, which leads to an upper bound on the system performance. Using an alternative model for the equivalent discrete-time channel, where the matched filter is replaced by a receive filter matched to the symbol waveform, we propose a framework to quantitatively investigate the performance loss from a theoretical perspective. The theoretical results are corroborated using a practical system.
Keywords :
FIR filters; Rayleigh channels; channel estimation; continuous time filters; discrete time filters; matched filters; radio receivers; transversal filters; channel estimation; continuous-time channel-impulse response; discrete-time transversal filter; finite impulse response; matched filter; receive filter; symbol-sampled receivers; unknown continuous-time Rayleigh channels; Finite impulse response filter; Intersymbol interference; Matched filters; Maximum likelihood estimation; Performance loss; Rayleigh channels; Statistics; System performance; Transversal filters; Upper bound; Channel capacity; ISI channels; channel estimation; continuous-time (C-T) channels; discrete-time channels; intersymbol interference (ISI); matched filters; maximum-likelihood sequence estimator (MLSE); unknown channels;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2005.853833
Filename :
1532185
Link To Document :
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