An optimized Near-Field antenna characterization is presented based on an optimized number and distribution of the sampling points and on an optimized controller able to exploit the performance of the scanning system. Indeed, to take full advantage of the optimized sampling grid and to reduce the measurement time, a Proportional-Integral-Derivative (PID) control system has been developed to drive the Near-Field scanner and to follow a general trajectory traversing the samples arranged on a raster grid. The performance of the control system is experimentally assessed by a comparison with a standard approach
Optimized Near Field with an Optimized Controller / Capozzoli, Amedeo; Celentano, Laura; Curcio, Claudio; Liseno, Angelo; Savarese, Salvatore. - (2018), pp. 1-5. (Intervento presentato al convegno 12th European Conference on Antennas and Propagation (EuCAP 2018) tenutosi a London, UK nel 9 April 2018 through 13 April 2018) [10.1049/cp.2018.0900].
Optimized Near Field with an Optimized Controller
Amedeo Capozzoli;Laura Celentano;Claudio Curcio;Angelo Liseno;Salvatore Savarese
2018
Abstract
An optimized Near-Field antenna characterization is presented based on an optimized number and distribution of the sampling points and on an optimized controller able to exploit the performance of the scanning system. Indeed, to take full advantage of the optimized sampling grid and to reduce the measurement time, a Proportional-Integral-Derivative (PID) control system has been developed to drive the Near-Field scanner and to follow a general trajectory traversing the samples arranged on a raster grid. The performance of the control system is experimentally assessed by a comparison with a standard approachI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
