A sparse covariance-based method for direction of arrival estimation

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 hyperparameters, and it has global convergence properties.

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Petre Stoica, Prabhu Babu, Jian Li
• Keywords: Arrival Estimation Problem, ICASSP 2011, Iterative Covariance-based Estimation, Signal Processing, SPICE