Title :
Threshold Region Determination of ML Estimation in Known Phase Data-Aided Frequency Synchronization
Author :
Najjar-Atallah, L. ; Larzabal, P. ; Forster, P.
Author_Institution :
Ecole Normale Superieure de Cachan, Lab. SATIE, Cachan, France
Abstract :
This paper studies the performance of the frequency maximum likelihood (ML) estimator of a single tone in Gaussian noise. Two mean-square error (MSE) approximations are first applied and then compared in the case of a known phase offset. The first is proposed by Van Trees [1] and corresponds to the method of interval errors (MIE). The second MSE approximation is proposed by Rife and Boorstyn in [4]. The problem is formulated in the data-aided frequency synchronization frame.
Keywords :
Gaussian noise; frequency estimation; maximum likelihood estimation; mean square error methods; signal processing; synchronisation; Gaussian noise; MIE; MSE; data-aided frequency synchronization frame; frequency maximum likelihood estimator; mean-square error approximation; method of interval errors; Design optimization; Frequency estimation; Frequency synchronization; Gaussian noise; Maximum likelihood detection; Maximum likelihood estimation; Performance analysis; Phase estimation; Region 4; Signal to noise ratio; Data aided synchronization; mean-square error (MSE) approximation; threshold behavior;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2005.853054
