Amplitude Estimation by a Multipoint Interpolated DFT Approach

Author

Belega, Daniel ; Dallet, Dominique

Author_Institution

Fac. of Electron. & Telecommun., Politeh. Univ. of Timisoara, Timisoara

Volume

58

Issue

5

fYear

2009

fDate

5/1/2009 12:00:00 AM

Firstpage

1316

Lastpage

1323

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;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/TIM.2009.2012950

Filename

4781537