On Regularization Parameter For L0-Sparse Covariance Fitting Based Doa Estimation

In sparse DOA estimation methods, the regularization parameter is generally empirically tuned. In this paper, we provide a statistical method allowing to estimate an admissible interval where it must be chosen. This work is conducted in the case of an Uni
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