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Large-sample analysis of MUSIC and Min-Norm direction estimators in the presence of model errors
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Automatic control. AUTOMATIC CONTROL.
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Automatic control. AUTOMATIC CONTROL.
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Automatic control. AUTOMATIC CONTROL.
1996 (English)In: CIRCUITS SYSTEMS AND SIGNAL PROCESSING, ISSN 0278-081X, Vol. 15, no 3, 377-393 p.Article in journal (Other scientific) Published
Abstract [en]

We analyze the large-sample mean square error (MSE) of MUSIC and Min-Norm direction-of-arrival (DOA) estimators under fairly general conditions, including mismodelling of the array response and the noise covariance. We separate the contributions to the MS

Place, publisher, year, edition, pages
1996. Vol. 15, no 3, 377-393 p.
Keyword [en]
PERFORMANCE ANALYSIS; SENSITIVITY ANALYSIS; MAXIMUM-LIKELIHOOD; PLANE-WAVES; ROOT-MUSIC; ALGORITHM; NOISE
Identifiers
URN: urn:nbn:se:uu:diva-27242OAI: oai:DiVA.org:uu-27242DiVA: diva2:55136
Note
Addresses: Kangas A, UNIV UPPSALA, SYST & CONTROL GRP, POB 27, S-75103 UPPSALA, SWEDEN.Available from: 2005-05-06 Created: 2005-05-06 Last updated: 2011-01-15

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Stoica, PSöderström, T

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