Threshold extension based on a new paradigm for MUSIC-type estimation

Author

Kaveh, M. ; Bassias, A.

Author_Institution

Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA

fYear

1990

fDate

3-6 Apr 1990

Firstpage

2535

Abstract

Certain functionals of two vectors are proposed as models for the formulation of MUSIC-type parameter estimators. The two vectors are the projections of the steering vector onto (1) the subspace spanned by the noise and the least significant signal eigenvector and (2) the least significant signal eigenvector. It is shown that both MUSIC and minimum-norm estimators are based on special cases of these functionals. It is further shown that the choice of the functional significantly affects estimator performance, with some providing resolution and mean-squared error thresholds similar to rooting techniques which are, only applicable to linear uniform arrays

Keywords

eigenvalues and eigenfunctions; parameter estimation; signal processing; MUSIC-type estimation; functionals; least significant signal eigenvector; mean-squared error thresholds; minimum-norm estimators; multiple signal characterisation; parameter estimation; resolution thresholds; steering vector; subspace; threshold extension; Contracts; Equations; Frequency estimation; Geometry; Multiple signal classification; Navigation; Parameter estimation; Particle measurements; Signal resolution; Smoothing methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Conference_Location

Albuquerque, NM

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1990.116118

Filename

116118