Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.116118
