Phased Array Diagnostics by TR-MUSIC Approach by a Reduced Set of Measurements

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.