2001
DOI: 10.1109/49.920172
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Symbol rate timing recovery for higher order partial response channels

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Cited by 23 publications
(8 citation statements)
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“…Given a one-step extension of a survivor input path, the value of that maximizes is easily obtained either by the least square fit or, equivalently, by taking derivative with respect to and setting the result to zero. We obtain (8) where and the subscript in emphasizes that this estimator is for the symbol interval. The error variance of this estimator is , where is the variance of the additive white Gaussian noise (AWGN) .…”
Section: Phase Update and Pseudo-codementioning
confidence: 99%
See 2 more Smart Citations
“…Given a one-step extension of a survivor input path, the value of that maximizes is easily obtained either by the least square fit or, equivalently, by taking derivative with respect to and setting the result to zero. We obtain (8) where and the subscript in emphasizes that this estimator is for the symbol interval. The error variance of this estimator is , where is the variance of the additive white Gaussian noise (AWGN) .…”
Section: Phase Update and Pseudo-codementioning
confidence: 99%
“…The phase update method of (13) is clearly simpler to implement than (8) and also allows theoretical steady-state loop analysis. Expression (12) or (13) also points to the formulation of a "leaky" version of the phase update equation [21].…”
Section: Phase Update and Pseudo-codementioning
confidence: 99%
See 1 more Smart Citation
“…Nevertheless, we keep it as a "dummy" argument in the conditioning on the left-hand side of (10) in order to emphasize the fact that are known before we make the th estimate . Let denote the estimated timing error sequence obtained by maximizing the joint a posteriori probability in (10), after observing the first samples (11) Observe that it is possible to have . Since the value is fully determined if and are known, we take advantage of this fact, and slightly abuse the notation to restate (11) as (12) From the sequence , we derive by simply equating…”
Section: Problem Formulation Using An Optimal-path Criterionmentioning
confidence: 99%
“…Recursive and closed-form expressions of the Kalman gain are derived for 0018-9464/$25.00 © 2007 IEEE both acquisition and tracking modes of the PLL. A comprehensive analysis and comparison of several symbol-rate timing recovery schemes can be found in [11].…”
Section: Introductionmentioning
confidence: 99%