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- W2108646418 abstract "This paper presents a novel channel estimator for GSM space-time coded (STC) systems. It is based on applying the maximum likelihood (ML) principle not only over a known training sequence, but also over the unknown symbols. Performing the so-called turbo equalization at reception we can obtain very accurate estimations of the a posteriori probabilities of these unknown symbols. These probabilities play a key role in the computation of the ML channel estimator. We also show how the expectation-maximization (EM) algorithm can be used to solve the resulting channel estimation optimization problem. As a practical application we study how much can the training sequence length be reduced in a GSM system operating in subway environments." @default.
- W2108646418 created "2016-06-24" @default.
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- W2108646418 date "2004-08-13" @default.
- W2108646418 modified "2023-09-26" @default.
- W2108646418 title "Maximum likelihood MIMO channel estimation and turbo equalization for space-time coded GSM systems" @default.
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- W2108646418 doi "https://doi.org/10.1109/spawc.2003.1318974" @default.
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