The communication presents an innovative method for the diagnosis of reflector antennas in radio astronomical applications. The approach is based on the optimization of the number and the distribution of the far field sampling points exploited to retrieve the antenna status in terms of feed misalignments, this to drastically reduce the time length of the measurement process and minimize the effects of variable environmental conditions and simplifying the tracking process of the source. The feed misplacement is modeled in terms of an aberration function of the aperture field. The relationship between the unknowns and the far field pattern samples is linearized thanks to a Principal Component Analysis. The number and the position of the field samples are then determined by optimizing the Singular Values behaviour of the relevant operator. © 2016 SPIE.
Singular values behaviour optimization in the diagnosis of feed misalignments in radioastronomical reflectors / Capozzoli, Amedeo; Curcio, Claudio; Liseno, Angelo; Savarese, Salvatore; Schipani, Pietro. - 9912:(2016). (Intervento presentato al convegno SPIE 9912, Advances in Optical and Mechanical Technologies for Telescopes and Instrumentation II, 99124P (22 July 2016) tenutosi a Edinburgh nel 26 June- 1 July 2016;) [10.1117/12.2233403].
Singular values behaviour optimization in the diagnosis of feed misalignments in radioastronomical reflectors
CAPOZZOLI, AMEDEO;CURCIO, CLAUDIO;LISENO, ANGELO;SAVARESE, SALVATORE;
2016
Abstract
The communication presents an innovative method for the diagnosis of reflector antennas in radio astronomical applications. The approach is based on the optimization of the number and the distribution of the far field sampling points exploited to retrieve the antenna status in terms of feed misalignments, this to drastically reduce the time length of the measurement process and minimize the effects of variable environmental conditions and simplifying the tracking process of the source. The feed misplacement is modeled in terms of an aberration function of the aperture field. The relationship between the unknowns and the far field pattern samples is linearized thanks to a Principal Component Analysis. The number and the position of the field samples are then determined by optimizing the Singular Values behaviour of the relevant operator. © 2016 SPIE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.