A Compressed Sensing/Sparse Recovery approach is adopted in this work to accurately identify fault array elements by using undersampled near-field data. Experimental validations on a slotted-waveguide array are discussed to demonstrate the effectiveness of the proposed procedure, able to properly identify the failures positions from a set of measured data much smaller than the number of radiating elements.

Compressed Sensing/Sparse Recovery Approach for Array Diagnosis using Undersampled Near-Field Data

MIGLIORE, Marco Donald;PINCHERA, Daniele;
2014

Abstract

A Compressed Sensing/Sparse Recovery approach is adopted in this work to accurately identify fault array elements by using undersampled near-field data. Experimental validations on a slotted-waveguide array are discussed to demonstrate the effectiveness of the proposed procedure, able to properly identify the failures positions from a set of measured data much smaller than the number of radiating elements.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11580/47233
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