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Communication Dans Un Congrès Année : 2018

Robust diagnosis of planar antenna arrays through a Bayesian compressive sensing approach

Résumé

A novel methodology for the robust diagnosis of large planar phased arrays is presented in this work. The developed strategy exploits the inherent sparsity of failures in large arrangements thanks to a customized Bayesian Compressive Sensing (BGS)-based approach. The detection, localization and characterization of faults is accomplished by processing noisy far-field measurements of the antenna under test (AUT) and exploiting the knowledge of the pattern radiated by the gold (error-free) antenna. Some representative numerical results are shown in order to assess the effectiveness of the proposed diagnosis technique, as well as to verify its robustness to noise occurring in real measurements.
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Dates et versions

hal-01866587 , version 1 (03-09-2018)

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Angelo Gelmini, Marco Salucci, Giacomo Oliveri, Andrea Massa. Robust diagnosis of planar antenna arrays through a Bayesian compressive sensing approach. 2017 Sixth Asia-Pacific Conference on Antennas and Propagation (APCAP), Oct 2017, Xi'an, China. ⟨10.1109/APCAP.2017.8420936⟩. ⟨hal-01866587⟩
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