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;
2014-01-01
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.File in questo prodotto:
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