학술논문
A sparse covariance-based method for direction of arrival estimation
Document Type
Conference
Source
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on. :2844-2847 May, 2011
Subject
Language
ISSN
1520-6149
2379-190X
2379-190X
Abstract
In this paper we present a new sparse iterative covariance-based estimation approach, called SPICE, to the direction of arrival estimation problem. SPICE is obtained by the minimization of a statistically well motivated covariance matrix fitting criterion and can be used in both single and multiple-snapshot cases. Some of the unique features enjoyed by SPICE are: it takes account of the noise in the data in a natural manner, it does not require selection of any hyper-parameters, and it has global convergence properties.