Title :
Multipoint Interpolated DFT method for frequency estimation
Author :
Belega, Daniel ; Dallet, Dominique
Author_Institution :
Fac. of Electron. & Telecommun., Politeh. Univ. of Timisoara, Timisoara
Abstract :
The accuracy of the frequency estimation of a multifrequency signal component by Interpolated Discrete Fourier Transform (IpDFT) method is affected by systematic errors. In a Weighted Multipoint Interpolated Discrete Fourier Transform (WMIpDFT) method has been proposed in order to reduce these errors. This method uses only the rectangular and the 2-term maximum sidelobe decay windows. In this paper the results of the method proposed in are generalized for the maximum sidelobe decay windows with higher order than two, which are used to improve the performance by reducing the systematic errors. When the H-term maximum sidelobe decay window (H ges 2) is used and the number of interpolation points is (2J + 1), with 1 les J les H-1, the analytical formula to estimate the frequency is derived. Then, the performance of the obtained WMIpDFT method is analyzed by means of computer simulations.
Keywords :
discrete Fourier transforms; interpolation; 2-term maximum sidelobe decay windows; H-term maximum sidelobe decay window; frequency estimation; interpolated discrete Fourier transform method; multifrequency signal component; multipoint interpolated DFT method; Computer errors; Computer simulation; Discrete Fourier transforms; Frequency estimation; Gaussian noise; Interpolation; Laboratories; Parameter estimation; Performance analysis; Signal processing; Discrete Fourier transform (DFT); interpolation; parameter estimation; signal processing;
Conference_Titel :
Systems, Signals and Devices, 2009. SSD '09. 6th International Multi-Conference on
Conference_Location :
Djerba
Print_ISBN :
978-1-4244-4345-1
Electronic_ISBN :
978-1-4244-4346-8
DOI :
10.1109/SSD.2009.4956674
