2008 IEEE International Conference on Communications 2008
DOI: 10.1109/icc.2008.92
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A Concept for Data-Aided Carrier Frequency Estimation at Low Signal-To-Noise Ratios

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Cited by 9 publications
(7 citation statements)
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“…Refer to the estimation variance derivation of D-spaced estimator in [14], we can prove that the variance of the normalized frequency estimation of equation (7) is as follows:…”
Section: Carrier Synchronization Algorithm Based On the Summatiomentioning
confidence: 99%
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“…Refer to the estimation variance derivation of D-spaced estimator in [14], we can prove that the variance of the normalized frequency estimation of equation (7) is as follows:…”
Section: Carrier Synchronization Algorithm Based On the Summatiomentioning
confidence: 99%
“…To achieve large estimation range and high estimation accuracy, we choose Preamble-Middle (PM) pilot structure. References [7][8][9]14] have presented the idea of coarse carrier synchronization based on the time-domain correlation of pilot symbols. In this paper the estimation algorithm based on timedomain correlation is applied to the fine synchronization process for the first time.…”
Section: Introductionmentioning
confidence: 99%
“…Generally, 12 NN  as shown in Fig.1 N and 2 N , can be designed according to the estimation accuracy of maximization periodogram and the estimation range of cross-correlation algorithm, both satisfying the requirements of estimation accuracy and obtaining higher spectrum efficiency. In addition, the code-aided EM algorithm and cross-correlation using pilot blocks with far distance are also considered in the fine estimation to improve the estimation accuracy further.…”
Section: Advances In Computer Sciencementioning
confidence: 99%
“…When the EM algorithm [5][6] is applied to the case of synchronization, the carrier synchronization parameters are iteratively estimated from the incomplete data r (the received signal vector) when there exists the nuisance parameter vector s (the transmitted symbols 12 ( , ,..., ) NL s s s  ). In the fine estimation, we consider introducing code-aided synchronization to further improve the estimation performance.…”
Section: B Fine Estimationmentioning
confidence: 99%
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