Weighted subspace fitting using subspace perturbation expansions
Document Type
Conference Proceeding
Date of Original Version
12-1-1998
Abstract
This paper presents a new approach to deriving statistically optimal weights for weighted subspace fitting (WSF) algorithms. The approach uses a formula called a subspace perturbation expansion, which shows how the subspaces of a matrix change when the matrix elements are perturbed. The perturbation expansion is used to derive an optimal WSF algorithm for estimating directions of arrival in array signal processing. © 1998 IEEE.
Publication Title, e.g., Journal
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume
4
Citation/Publisher Attribution
Vaccaro, Richard J.. "Weighted subspace fitting using subspace perturbation expansions." ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 4, (1998): 1973-1976. doi: 10.1109/ICASSP.1998.681451.