High resolution spectrum estimation

Author

Maud, Mohammad A. ; Bruno, Azim I.

Author_Institution

Coll. of Electr. & Mech. Eng., Nat. Univ. of Sci. & Technol., Rawalpindi, Pakistan

fYear

1992

Firstpage

498

Abstract

A new approach to improve the frequency resolution of parametric power spectrum estimation for signals with rational power spectra is proposed. Specifically, the effect of errors in the calculated autocorrelation values is reduced by using a double autocorrelation procedure. The numerical solution of the resulting Yule-Walker equations is carried out by the forward and backward linear predictor method of L. Marple (1980). This algorithm gives good results even when the poles are closely spaced and the sensitivity to calculated autocorrelation error is acute without resorting to pole manipulation, as suggested by M.J. Villalba and B.K. Walker (1989). Another algorithm using the results of Slutsky´s sinusoidal limit theorem is proposed in addition to the double autocorrelation procedure

Keywords

correlation methods; filtering and prediction theory; spectral analysis; Slutsky´s sinusoidal limit theorem; Yule-Walker equations; backward linear predictor method; double autocorrelation procedure; forward linear prediction method; frequency resolution; high resolution; parametric power spectrum estimation; Autocorrelation; Discrete Fourier transforms; Educational institutions; Entropy; Equations; Filtering theory; Frequency estimation; Mechanical engineering; Signal resolution; Spectral analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-3160-0

Type

conf

DOI

10.1109/ACSSC.1992.269222

Filename

269222