SUBSPACE SELECTION FOR PARTIALLY ADAPTIVE SENSOR ARRAY-PROCESSING

Authors
GOLDSTEIN JS REED IS
Citation
Js. Goldstein et Is. Reed, SUBSPACE SELECTION FOR PARTIALLY ADAPTIVE SENSOR ARRAY-PROCESSING, IEEE transactions on aerospace and electronic systems, 33(2), 1997, pp. 539-544
Citations number
8
Categorie Soggetti
Telecommunications,"Engineering, Eletrical & Electronic","Aerospace Engineering & Tecnology
Journal title
IEEE transactions on aerospace and electronic systems → ACNP
ISSN journal
00189251
Volume
33
Issue
2
Year of publication
1997
Part
1
Pages
539 - 544
Database
ISI
SICI code
0018-9251(1997)33:2<539:SSFPAS>2.0.ZU;2-B
Abstract
This paper introduces a cross-spectral metric for subspace selection a nd rank reduction in partially adaptive minimum variance array process ing. The counter-intuitive result that it is suboptimal to perform ran k reduction via the selection of the subspace formed by the principal eigenvectors of the array covariance matrix Is demonstrated. A cross-s pectral metric is shown to be the optimal criterion for reduced-rank W iener filtering.