Abstract
The possibility to recover in a careful and reliable way the directions of arrival (DoA) of multiple narrow-band signals by processing the data collected in a single time snapshot at the terminals of a linear antenna array composed of dipoles affected by mutual coupling is addressed. By applying an approach based on the Bayesian compressive sensing, the information on the degree of reliability of the estimations is exploited to implement an iterative multiresolution strategy aimed at enhancing the accuracy and the efficiency of the DoA prediction process. A set of representative numerical examples, considering different signal configurations, noise realizations, and polarization losses, is reported and discussed to illustrate the behavior of the proposed approach, as well as to give some insights on its potentials compared with competitive state-of-the-art methods.
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