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In this paper, the Positive constrained Least Absolute Shrinkage and Selection Operator (P-LASSO) is studied for sparse support recovery using the correlation information in Compressive sensing (CS). A structural constraint is obtained for selecting the regularization parameter in the case of additive Gaussian noise. Since the measurements are finite in practice, the probability of successful recovering...
For passive bistatic radar with a noisy reference signal, we propose a singular value decomposition (SVD) and Eigen detector that significantly outperforms the conventional cross-correlation detector. We consider the scenario when the signals of opportunity across several independent snapshots/pulses span a low-rank signal space. The target reflectivity is assumed to change independently from one...
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