Subspace selection for partially adaptive sensor array processing
- 1 April 1997
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Aerospace and Electronic Systems
- Vol. 33 (2) , 539-544
- https://doi.org/10.1109/7.575892
Abstract
This paper introduces a cross-spectral metric for subspace selection and rank reduction in partially adaptive minimum variance array processing. The counter-intuitive result that it is suboptimal to perform rank reduction via the selection of the subspace formed by the principal eigenvectors of the array covariance matrix is demonstrated. A cross-spectral metric is shown to be the optimal criterion for reduced-rank Wiener filtering.Keywords
This publication has 6 references indexed in Scilit:
- Output power based partial adaptive array designPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1989
- Eigenstructure based partially adaptive array designIEEE Transactions on Antennas and Propagation, 1988
- Using spectral estimation techniques in adaptive processing antenna systemsIEEE Transactions on Antennas and Propagation, 1986
- An alternative approach to linearly constrained adaptive beamformingIEEE Transactions on Antennas and Propagation, 1982
- Adaptive arrays with main beam constraintsIEEE Transactions on Antennas and Propagation, 1976
- An algorithm for linearly constrained adaptive array processingProceedings of the IEEE, 1972