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Array Processing in Correlated Noise Fields Using Instrumental Variables and Subspace Fitting
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Uppsala University, Sweden.
Royal Institute of Technology, Sweden.
1992 (English)In: Proceedings of the 26th Asilomar Conference on Signals, Systems and Computers, 1992, 1147-1151 vol.2 p.Conference paper, Published paper (Refereed)
Abstract [en]

An improved technique for direction-of-arrival estimation of temporally correlated signals in the presence of spatially colored, but temporally uncorrelated, noise is presented. The method is particularly suited to applications in which the receiver bandwidth exceeds that of the emitter signals. A statistical performance analysis shows that the method nearly achieves the deterministic Cramer-Rao bound if the signals are sufficiently predictable. A Monte Carlo experiment suggests that the theoretical estimation error variance well predicts the empirical mean square error down to the threshold region.

Place, publisher, year, edition, pages
1992. 1147-1151 vol.2 p.
Keyword [en]
Array signal processing, Correlation methods, noise, Parameter estimation, Statistical Analysis
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-91123DOI: 10.1109/ACSSC.1992.269119ISBN: 0-8186-3160-0 (print)OAI: oai:DiVA.org:liu-91123DiVA: diva2:618447
Conference
26th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, October, 1992
Available from: 2013-04-28 Created: 2013-04-17 Last updated: 2013-07-30

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CiteExportLink to record
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