Unified analysis of a class of blind feedforward symbol timing estimators employing second-order statistics

Yik Chung Wu, Erchin Serpedin

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

In this letter, all the previously proposed digital blind feedforward symbol timing estimators employing second-order statistics are casted into a unified framework. The finite sample mean-square error (MSE) expression for this class of estimators is established. Simulation results are also presented to corroborate the analytical results. It is found that the feedforward conditional maximum likelihood (CML) estimator and the square law nonlinearity (SLN) estimator with a properly designed prefilter perform the best and their performances coincide with the asymptotic conditional Cramer-Rao bound (CCRB), which is the performance lower bound for the class of estimators under consideration.

Original languageEnglish
Pages (from-to)737-742
Number of pages6
JournalIEEE Transactions on Wireless Communications
Volume5
Issue number4
DOIs
Publication statusPublished - Apr 2006
Externally publishedYes

Fingerprint

Cramer-Rao bounds
Feedforward
Order Statistics
Mean square error
Maximum likelihood
Timing
Statistics
Estimator
Conditional Maximum Likelihood
Cramér-Rao Bound
Sample mean
Maximum Likelihood Estimator
Nonlinearity
Lower bound
Class
Simulation

Keywords

  • Analysis
  • Cramer-Rao bound
  • Feedforward
  • Performance
  • Synchronization
  • Timing recovery

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Engineering(all)

Cite this

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