Frequency estimation performance of several weighted Burg algorithms

Author

Campbell, William ; Swingler, David N.

Author_Institution

Defence Res. Establ. Atlantic, Dartmouth, NS, Canada

Volume

41

Issue

3

fYear

1993

fDate

3/1/1993 12:00:00 AM

Firstpage

1237

Lastpage

1247

Abstract

The frequency estimation performance of a set of weighted Burg algorithms is investigated for single complex and real sinusoids in noise. It is demonstrated that in the complex case, an extension of Ibrahim´s (1987, 1989) modification of Kaveh and Lipert´s (1983) optimum tapered Burg algorithm meets the Cramer-Rao lower bound for a sufficiently high signal-to-noise ratio and a sufficiently large model order. This is in contrast with the original Burg method. In the case of a real sinusoid, the same algorithm most closely approaches this bound, making it the technique of choice for both applications. Spectral resolution is addressed briefly

Keywords

noise; parameter estimation; spectral analysis; Cramer-Rao lower bound; complex sinusoids; frequency estimation performance; noise; optimum tapered Burg algorithm; real sinusoids; spectral analysis; spectral resolution; weighted Burg algorithms; Entropy; Filters; Frequency estimation; Reflection; Shape; Signal processing algorithms; Signal to noise ratio; Spectral analysis; Weight measurement; White noise;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.205726

Filename

205726