DocumentCode
1307345
Title
Accuracy of Sine Wave Frequency Estimation by Multipoint Interpolated DFT Approach
Author
Belega, Daniel ; Dallet, Dominique ; Petri, Dario
Author_Institution
Fac. of Electron. & Telecommun., “Politeh.” Univ. of Timisoara, Timişoara, Romania
Volume
59
Issue
11
fYear
2010
Firstpage
2808
Lastpage
2815
Abstract
This paper focuses on the frequency-domain estimation of the normalized frequency of a sine wave corrupted by a stationary white noise. The weighted multipoint interpolated discrete Fourier transform method is considered, and its effect on both the spectral interference due to the image component and the additive wideband noise is taken into account. In particular, the expression of the combined standard uncertainty of the estimator is derived in the case when the H-term maximum sidelobe decay window (H ≥ 2) is used, and the number of interpolation points is 2J + 1 (J ≥ 1). Based on this expression, the number of interpolation points that minimize the estimator-combined uncertainty can be determined. The derived results are validated by means of computer simulations and applied to experimental data.
Keywords
discrete Fourier transforms; frequency estimation; frequency-domain analysis; interpolation; signal processing; white noise; H-term maximum sidelobe decay window; additive wideband noise; estimator-combined uncertainty; frequency-domain estimation; image component; interpolation points; multipoint interpolated DFT approach; normalized frequency; sine wave frequency estimation; spectral interference; stationary white noise; weighted multipoint interpolated discrete Fourier transform method; Discrete Fourier transforms; Frequency estimation; Interference; Interpolation; Noise; Uncertainty; Wideband; Discrete Fourier transform (DFT); error analysis; interpolation; parameter estimation; signal processing; uncertainty;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/TIM.2010.2060870
Filename
5559441
Link To Document