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

M. Kaveh, A. Bassias

Research output: Contribution to journalConference articlepeer-review

17 Scopus citations

Abstract

Certain functionals of two vectors are proposed as models for the formulation of MUSIC-like 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 functions. 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.

Original languageEnglish (US)
Pages (from-to)2535-2538
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume5
StatePublished - Dec 1 1990
Event1990 International Conference on Acoustics, Speech, and Signal Processing: Speech Processing 2, VLSI, Audio and Electroacoustics Part 2 (of 5) - Albuquerque, New Mexico, USA
Duration: Apr 3 1990Apr 6 1990

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