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- W2384209518 abstract "Resolving closely spaced sources is an important goal of source localization.In this paper,we present a high resolution method for direction-of-arrival(DOA) estimation based on sparse reconstruction algorithms.We establish the system equations based on the data correlation matrix,which increases the ratio of measurements to sparsity(RMS) and reduces the problem's dimensionality to the minimum.We impose the l1-norm as the sparsity penalty namely min l1-norm optimization which can be solved efficiently using convex optimization algorithms.Furthermore,the local grid refinement method is adopted to increase grid accuracy and reduce computational load.Numerical simulations demonstrate the effectiveness and near optimality of our proposed method versus other existing methods." @default.
- W2384209518 created "2016-06-24" @default.
- W2384209518 creator A5075398704 @default.
- W2384209518 date "2011-01-01" @default.
- W2384209518 modified "2023-09-27" @default.
- W2384209518 title "A High Resolution Bearing Estimation Method Based on Sparse Reconstruction" @default.
- W2384209518 hasPublicationYear "2011" @default.
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