A Study of Principal Component Analysis as Applied to Separation of Multiple Plane Waves
Abstract
Principal component analysis, eigenvalue-eigenvector decomposition of array spectral matrices, has been proposed by several authors as a technique for the separation of the signal components of mixed signals observed at an array since the eigenvectors of the spectral matrix often resemble signal delay vectors. This report is a critical evaluation of the method.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 21, 1974
- Accession Number
- AD0779853
Entities
People
- E. A. Flinn
- Z. A. Der