2001
DOI: 10.1002/wcm.14
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Channel estimation in narrowband wireless communication systems

Abstract: Channel estimation is an integral part of standard adaptive receiver designs used in narrowband, digital wireless communication systems. In this tutorial paper, commonly used approaches to channel estimation are reviewed. Both time‐invariant and time‐varying channels are considered. For time‐varying channels, both pilot symbol interpolation and data‐directed channel tracking are considered. Applications include the Global System for Mobile communications, the Enhanced Data rates for Global Evolution system, an… Show more

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Cited by 62 publications
(41 citation statements)
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References 139 publications
(239 reference statements)
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“…In spacetime coding, different signals are simultaneously transmitted from different transmit antennas. The signal which is received is the superposition of the different transmitted signals, and the detection process needs estimates of the channel parameters [3]. Performance analysis methods often consider perfect channel estimates under the assumption that the estimation errors are negligible.…”
Section: Introductionmentioning
confidence: 99%
“…In spacetime coding, different signals are simultaneously transmitted from different transmit antennas. The signal which is received is the superposition of the different transmitted signals, and the detection process needs estimates of the channel parameters [3]. Performance analysis methods often consider perfect channel estimates under the assumption that the estimation errors are negligible.…”
Section: Introductionmentioning
confidence: 99%
“…The optimality criterion of this method is to minimize the least square errors to find an optimal estimator to the unknown parameters [9]. It is widely used in practice due to its salient feature that no probabilistic assumptions are made about the parameters.…”
Section: Least-squares (Ls) Estimationmentioning
confidence: 99%
“…In the first comparison, one way of quantifying channel estimation performance is by MSE matrix [9], also referred to as the error covariance. The MSE matrix can be defined as…”
Section: Fd-ls O(m) O(1)mentioning
confidence: 99%
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