Title :
Amplitude Estimation by a Multipoint Interpolated DFT Approach
Author :
Belega, Daniel ; Dallet, Dominique
Author_Institution :
Fac. of Electron. & Telecommun., Politeh. Univ. of Timisoara, Timisoara
fDate :
5/1/2009 12:00:00 AM
Abstract :
This paper focuses on the amplitude estimation by a multipoint interpolated discrete Fourier transform (DFT) method. Accurate results are obtained using the weighted multipoint interpolated DFT (WMIpDFT) method with maximum sidelobe decay windows. In addition, using the WMIpDFT method with maximum sidelobe decay windows, it is mathematically proven that the systematic errors affecting the amplitude estimation decrease as the number of interpolation points and/or the window order increases. Computer simulations confirm the accuracy of the derived expressions. Moreover, the influence of white Gaussian noise on the amplitude estimations has been analyzed by means of computer simulations.
Keywords :
Gaussian noise; amplitude estimation; discrete Fourier transforms; interpolation; signal processing; white noise; amplitude estimation; discrete Fourier transform method; interpolation point; maximum sidelobe decay window; signal processing; weighted multipoint interpolated DFT approach; white Gaussian noise; Discrete Fourier transform (DFT); error analysis; interpolation; parameter estimation; signal processing;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2009.2012950