DocumentCode
920996
Title
Coarse frequency estimation using the discrete Fourier transform (Corresp.)
Author
Palmer, L.C.
Volume
20
Issue
1
fYear
1974
fDate
1/1/1974 12:00:00 AM
Firstpage
104
Lastpage
109
Abstract
The discrete Fourier transform (DFT) is applied as a coarse estimator of the frequency of a sine wave in Gaussian noise. Probability of anomaly and the variance of the estimation error are determined by computer simulation for several DFT block sizes as a function of signal energy-to-noise density ratio
. Several data windows are considered, but uniform weighting gives the best performance.
. Several data windows are considered, but uniform weighting gives the best performance.Keywords
DFT; Discrete Fourier transforms (DFT´s); Frequency estimation; Parameter estimation; Computer simulation; Discrete Fourier transforms; Discrete transforms; Estimation error; Frequency estimation; Frequency measurement; Gaussian noise; Maximum likelihood estimation; Phase estimation; Signal processing;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1974.1055156
Filename
1055156
Link To Document