Weighted subspace fitting using subspace perturbation expansions

R.J. Vaccaro
Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181)  
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.
doi:10.1109/icassp.1998.681451 dblp:conf/icassp/Vaccaro98 fatcat:l2vv7u5slba3np5szke7gtksam