Title :
Frequency estimation via weighted multipoint interpolated DFT
Author :
Belega, D. ; Dallet, D.
Author_Institution :
Politeh. Univ. of Timisoara, Timisoara
Abstract :
A weighted multipoint interpolated discrete Fourier transform (WMIpDFT) method for high accuracy frequency estimation of a multi-frequency signal component is presented. This method uses the maximum sidelobe decay windows. The relationships to estimate the frequency when an H-term maximum sidelobe decay window (H ges 2) is used for (2J + 1)-point interpolation (1 les J les H + 1) are given. The effectiveness of the method proposed was analysed by means of computer simulations for a multi-frequency signal without noise as well as with quantisation noise.
Keywords :
discrete Fourier transforms; frequency estimation; quantisation (signal); H-term maximum sidelobe decay window; discrete Fourier transform; frequency estimation; maximum sidelobe decay windows; multifrequency signal component; quantisation noise; weighted multipoint interpolated DFT;
Journal_Title :
Science, Measurement & Technology, IET
DOI :
10.1049/iet-smt:20070022