A sparse covariance-based method for direction-of-arrival estimation
2011 (English)In: ICASSP2011, the 36th International Conference on Acoustics, Speech and Signal Processing, Prague, Czech Republic., 2011, 2844-2847 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
2011. 2844-2847 p.
, International Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
array processing, direction of arrival (DOA) estimation, sparse parameter estimation, covariance fitting
IdentifiersURN: urn:nbn:se:uu:diva-165496ISI: 000296062403064ISBN: 978-1-4577-0539-7OAI: oai:DiVA.org:uu-165496DiVA: diva2:473990
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) MAY 22-27, 2011 Prague, CZECH REPUBLIC