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