Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/175581
 Title: DOA Estimation of Time-Modulated Linear Array Based on Sparse Signal Recovery Authors: Wen Tao Li;Ya Jie Lei;Xiao Wei Shi Year: 2017 Publisher: IEEE Abstract: Under the circumstances of small number of snapshots, low signal-to-noise ratio, and closely spaced sources, especially with correlated signals, the existing direction of arrival angle (DOA) estimation methods for time-modulated linear arrays (TMLAs) generally does not yield satisfactory results. To deal with those problems, a new weighted \ell 1-norm DOA estimation algorithm is proposed for the TMLA in this letter. The proposed algorithm constructs the weighted matrix by making full use of the orthogonality of the signal subspace and the noise subspace to penalize the \ell 1-norm constrained model. Accordingly, the reconstructed coefficient vector with better sparsity could be achieved, and the false peaks could be effectively suppressed. Simulation results have been provided to validate the effectiveness of the proposed method. Description: URI: http://localhost/handle/Hannan/175581 volume: 16 More Information: 2336,2340 Appears in Collections: 2017

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