In this paper, the problem of planar phased array antenna diagnostics from near-field measurements is addressed by a Time Reversal-MUltiple SIgnal Classification (TR-MUSIC) based algorithm using a steering diversity. It is shown that the number of degrees of freedom limits the diagnostic scenarios in which the TR-MUSIC works. A difference model allows to overcome this limitation and at the same time can reduce the data required for diagnostics. Finally, numerical examples show the effectiveness of the proposed method.
Phased Array Diagnostics by TR-MUSIC Approach by a Reduced Set of Measurements
Del Prete, Mario
2023
Abstract
In this paper, the problem of planar phased array antenna diagnostics from near-field measurements is addressed by a Time Reversal-MUltiple SIgnal Classification (TR-MUSIC) based algorithm using a steering diversity. It is shown that the number of degrees of freedom limits the diagnostic scenarios in which the TR-MUSIC works. A difference model allows to overcome this limitation and at the same time can reduce the data required for diagnostics. Finally, numerical examples show the effectiveness of the proposed method.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
