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Optimal prior knowledge-based direction of arrival estimation
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
2012 (English)In: IET Signal Processing, ISSN 1751-9675, E-ISSN 1751-9683, Vol. 6, no 8, 731-742 p.Article in journal (Refereed) Published
Abstract [en]

In certain applications involving direction of arrival (DOA) estimation the operator may have a-priori information on some of the DOAs. This information could refer to a target known to be present at a certain position or to a reflection. In this study, the authors investigate a methodology for array processing that exploits the information on the known DOAs for estimating the unknown DOAs as accurately as possible. Algorithms are presented that can efficiently handle the case of both correlated and uncorrelated sources when the receiver is a uniform linear array. The authors find a major improvement in estimator accuracy in feasible scenarios, and they compare the estimator performance to the corresponding theoretical stochastic Cramer-Rao bounds as well as to the performance of other methods capable of exploiting such prior knowledge. In addition, real data from an ultra-sound array is applied to the investigated estimators.

Place, publisher, year, edition, pages
2012. Vol. 6, no 8, 731-742 p.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-200458DOI: 10.1049/iet-spr.2011.0453ISI: 000318231200003OAI: oai:DiVA.org:uu-200458DiVA: diva2:623753
Available from: 2013-05-28 Created: 2013-05-28 Last updated: 2017-12-06Bibliographically approved

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Stoica, Peter

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