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. / <p>QC 20130107</p>
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:kth-109489 |
| Date | January 2012 |
| Creators | Wirfält, Petter, Bouleux, Guillaume, Jansson, Magnus, Stoica, Petre |
| Publisher | KTH, Signalbehandling, KTH, ACCESS Linnaeus Centre, KTH, Signalbehandling, KTH, ACCESS Linnaeus Centre, University of Lyon, University of Saint Etienne, LASPI, Systems and Control Division, Uppsala University, London : Institution of Engineering and Technology |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Article in journal, info:eu-repo/semantics/article, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | IET Signal Processing, 1751-9675, 2012, 6:8, s. 731-742, info:eu-repo/grantAgreement/EC/FP7/228044 |
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