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Optimal prior knowledge-based direction of arrival estimation

Abstract : —In certain applications involving direction of arrival (DOA) estimation we 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 paper we investigate a methodology for array processing that exploits the information on the known DOAs for estimating the unknown DOAs as accurately as possible. We present algorithms that can efficiently handle the case of both correlated and uncorrelated sources when the receiver is a uniform linear array. We find a major improvement in estimator accuracy in feasible scenarios, and we compare the estimator performance to the corresponding theoretical stochastic Cramér-Rao Bounds (CRBs) as well as to the performance of other methods capable of exploiting such prior knowledge. In addition, we apply the investigated estimators to real data from an ultra-sound array.
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Petter Wirfält, Guillaume Bouleux, Magnus Jansson, Petre Stoica. Optimal prior knowledge-based direction of arrival estimation. IET Signal Processing, Institution of Engineering and Technology, 2012, 6, pp.731 - 742. ⟨10.1049/iet-spr.2011.0453⟩. ⟨hal-01555277⟩



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