ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240)
DOI: 10.1109/icc.2001.936964
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Concurrent blind deconvolution for channel equalization

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Cited by 83 publications
(101 citation statements)
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“…A potential problem of (hard) decision-directed adaptation is that if the decision is wrong, error propagation occurs which subsequently degrades equalizer adaptation. As analyzed in [6], if the equalizer hard decisions before and after the CMA adaptation are the same, the decision probably is a right one. The DD adaptation, when is safe to perform, has a much faster convergence speed and is capable of lowering the steady state MSE, compared with the pure CMA.…”
Section: A Concurrent Cma and Decision Directed Equalizermentioning
confidence: 99%
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“…A potential problem of (hard) decision-directed adaptation is that if the decision is wrong, error propagation occurs which subsequently degrades equalizer adaptation. As analyzed in [6], if the equalizer hard decisions before and after the CMA adaptation are the same, the decision probably is a right one. The DD adaptation, when is safe to perform, has a much faster convergence speed and is capable of lowering the steady state MSE, compared with the pure CMA.…”
Section: A Concurrent Cma and Decision Directed Equalizermentioning
confidence: 99%
“…De Castro and co-workers [6] proposed a blind equalization scheme that consists of a CMA equalizer and a DD equalizer operating concurrently. Specifically, let w = w c + w d .…”
Section: A Concurrent Cma and Decision Directed Equalizermentioning
confidence: 99%
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