Training Sequence Length Optimization for a Turbo-Detector Using Decision-Directed Channel Estimation
We consider the problem of optimization of the training sequence length when a turbo-detector composed of a maximum a posteriori (MAP) equalizer and a MAP decoder is used. At each iteration of the receiver, the channel is estimated using the hard decisions on the transmitted symbols at the output of...
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Veröffentlicht in: | Journal of electrical and computer engineering 2008-01, Vol.2008 (2008), p.1-5 |
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Sprache: | eng |
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