The problem of detecting defective elements in antenna arrays from near-field measurements by a MUSIC method is addressed. It is shown that, owing to the rank deficiency of the involved correlation matrix, MUSIC is indeed no better than back-transformation or matrix methods. In order to restore MUSIC performance, a rank recovering procedure is required. Therefore, here, we introduce a rank recovering method which is properly tailored to address the pertinent near-field configuration. Numerical examples, obtained for 2D scalar cases and linear array antennas, show the effectiveness of the method.

Linear Array Antenna Diagnostics Through a MUSIC Algorithm

Cuccaro, Antonio;
2019-01-01

Abstract

The problem of detecting defective elements in antenna arrays from near-field measurements by a MUSIC method is addressed. It is shown that, owing to the rank deficiency of the involved correlation matrix, MUSIC is indeed no better than back-transformation or matrix methods. In order to restore MUSIC performance, a rank recovering procedure is required. Therefore, here, we introduce a rank recovering method which is properly tailored to address the pertinent near-field configuration. Numerical examples, obtained for 2D scalar cases and linear array antennas, show the effectiveness of the method.
2019
Array diagnostics
inverse imaging
multiple signal classification (MUSIC)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/390978
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