An iterative technique to achieve enhanced spectral resolution

Author

Holder, E.J. ; Derr, M.N.

Author_Institution

Georgia Tech. Res. Inst., Atlanta, GA, USA

Volume

39

Issue

9

fYear

1991

fDate

9/1/1991 12:00:00 AM

Firstpage

2098

Lastpage

2101

Abstract

An iterative technique, called iterative MUSIC (ITM), is introduced that achieves enhanced resolution performance equivalent to MUSIC´s without performing the eigensystem decomposition of the array correlation matrix. The technique can be modified to accommodate a signal-space or a noise-space spectral resolution algorithm. Simulation results are included that compare the relative performance of the derived iterative technique and MUSIC. It is shown that the spectral estimation performance of ITM with three iterations is similar to that of MUSIC for signal-to-noise ratios in the range from 0 to 30 dB

Keywords

iterative methods; parameter estimation; spectral analysis; ITM; iterative MUSIC; iterative technique; noise-space spectral resolution algorithm; signal-space spectral resolution algorithm; spectral estimation performance; spectral resolution enhancement; Algorithm design and analysis; Eigenvalues and eigenfunctions; Iterative algorithms; Multiple signal classification; Signal analysis; Signal processing; Signal processing algorithms; Signal resolution; Signal to noise ratio; Time frequency analysis;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.134445

Filename

134445