High resolution spectrum estimating algorithm

Author

Luzin, Igor ; Dubinsky, Maxim

Volume

3

fYear

1998

fDate

28 Sep-1 Oct 1998

Firstpage

1409

Abstract

A high-resolution spectrum estimating algorithm has been developed. The proposed algorithm is based on approximation of maximum likelihood criterion, which leads to two-channel structure of the estimation filter. The first channel corresponds to a measuring channel like one of Capon´s algorithm, and the second one is using for taking into account and compensation of non-coherent white noise component value. The developed algorithm is a compromise solution of the simplicity of DSP-realisation of Capon´s or ARMA-models algorithms and the effectiveness of methods based on covariance matrix singular decomposition

Keywords

acoustic noise; acoustic signal processing; autoregressive moving average processes; covariance matrices; digital filters; maximum likelihood estimation; singular value decomposition; spectral analysis; white noise; ARMA-models algorithms; Capon´s algorithm; DSP-realisation; covariance matrix singular decomposition; estimation filter; high resolution spectrum estimating algorithm; maximum likelihood; noncoherent white noise component; two-channel structure; Covariance matrix; Eigenvalues and eigenfunctions; Filters; Frequency estimation; Maximum likelihood estimation; Signal processing algorithms; Signal resolution; Spectral analysis; Tuning; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

OCEANS '98 Conference Proceedings

Conference_Location

Nice

Print_ISBN

0-7803-5045-6

Type

conf

DOI

10.1109/OCEANS.1998.726301

Filename

726301