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

Volume

12

Issue

9

fYear

2005

Firstpage

605

Lastpage

608

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;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2005.853054

Filename

1495423