SALUCCI, Marco and GELMINI, Angelo and OLIVERI, Giacomo and MASSA, Andrea (2019) Diagnosis of Planar Phased Arrays Through a Probabilistic Compressive Sensing Approach. Technical Report. ELEDIA Research Center - University of Trento.
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Abstract
This work deals with the detection of faulty elements in planar phased antenna arrays starting from far‐field pattern measurements. Owing to the intrinsically sparse nature of the problem unknowns at hand, the diagnosis problem is formulated as a probabilistic Compressive Sensing (CS) one and it is effectively and efficiently solved through a customized Bayesian CS (BCS) solution approach. Some representative synthetic benchmarks are shown in order to verify the potentialities as well as the current limitations of the proposed BCS‐based diagnosis tool, as well as to assess its flexibility in dealing with arbitrary excitation taperings of the AUT.
| Item Type: | Monograph (Technical Report) |
|---|---|
| Uncontrolled Keywords: | Antenna arrays, array failure, Bayesian compressive sensing (BCS), compressive sensing, fault diagnosis, planar arrays |
| Subjects: | A Areas > A WC Next Generation Wireless Communications M Methodologies > M CS Compressive Sensing |
| URI: | http://www.eledia.org/students-reports/id/eprint/793 |
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