Iterative frequency estimation by interpolation on Fourier coefficients

The estimation of the frequency of a complex exponential is a problem that is relevant to a large number of fields. In this paper, we propose and analyze two new frequency estimators that interpolate on the Fourier coefficients of the received signal samples. The estimators are shown to achieve iden...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on signal processing 2005-04, Vol.53 (4), p.1237-1242
Hauptverfasser:	Aboutanios, E., Mulgrew, B.
Format:	Artikel
Sprache:	eng
Schlagworte:	Additive white noise Applied sciences Asymptotic properties Cramer-Rao bounds Detection, estimation, filtering, equalization, prediction Digital signal processing Discrete Fourier transforms Estimators Exact sciences and technology Fourier analysis Frequency estimation Gaussian noise Information, signal and communications theory Interpolation Iterative algorithms Maximum likelihood estimation parameter estimation Signal analysis Signal and communications theory Signal processing Signal processing algorithms Signal to noise ratio Signal, noise Telecommunications and information theory Variance
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	The estimation of the frequency of a complex exponential is a problem that is relevant to a large number of fields. In this paper, we propose and analyze two new frequency estimators that interpolate on the Fourier coefficients of the received signal samples. The estimators are shown to achieve identical asymptotic performances. They are asymptotically unbiased and normally distributed with a variance that is only 1.0147 times the asymptotic Crame/spl acute/r-Rao bound (ACRB) uniformly over the frequency estimation range.
ISSN:	1053-587X 1941-0476
DOI:	10.1109/TSP.2005.843719