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- W2396089596 abstract "Direction of arrival (DOA) estimation via sparse signal recovery (SSR) has recently attracted a considerable research interest due to its various advantages over the conventional DOA estimation methods. Yet, the performance of the SSR-based algorithms can be further enhanced by exploiting the structure of strictly non-circular (NC) signals. In this paper, we present a novel strategy to take the NC signal structure into account for the SSR, which results in a two-dimensional SSR problem. Thereby, the known benefits associated with NC sources can be achieved. Moreover, we address the 2-D off-grid problem by proposing a low-complexity procedure that estimates the sources' grid offset from the closest neighboring grid points. For a single off-grid source, we show analytically that the 2-D offset estimation problem is separable, allowing to perform the offset estimation in both dimensions independently. We also propose a numerical procedure for the joint estimation of the grid offsets of two closely-spaced sources. The effectiveness of the proposed methods is demonstrated via simulations." @default.
- W2396089596 created "2016-06-24" @default.
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- W2396089596 date "2016-03-01" @default.
- W2396089596 modified "2023-10-03" @default.
- W2396089596 title "Sparsity-based direction-of-arrival estimation for strictly non-circular sources" @default.
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- W2396089596 doi "https://doi.org/10.1109/icassp.2016.7472277" @default.
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