Title :
A new fine-frequency estimation algorithm based on parabolic regression
Author :
McIntyre, C.M. ; Dermott, David A.
Author_Institution :
Defence Res. Establ. Atlantic, Dartmouth, NS, Canada
Abstract :
A simple fine-frequency estimation algorithm that makes use of power information only is described. The simplest methods that are currently used are based on finding the peak of the parabola that interpolates a local maximum value in the power spectrum together with the two adjacent power values. This method is based on performing a least-squares fit of a parabola with a fixed shape to the peak power value and the two adjacent values. The resulting closed-form, high-accuracy method yields estimates that are less biased than those provided by the interpolation formula, but with a simpler computation
Keywords :
estimation theory; least squares approximations; spectral analysis; closed form method; fine-frequency estimation algorithm; least-squares fit; parabolic regression; peak power value; power information; power spectrum; Fast Fourier transforms; Frequency estimation; Frequency response; Interpolation; Maximum likelihood estimation; Parameter estimation; Radar; Shape; Sonar navigation; Yield estimation;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.226000
