A multistage synthesis approach for the design of aperiodic refiectarray, based on an effective and efficient implementation on GPU is presented. The pattern evaluation is accelerated thank to the use of the nonuniform fast Fourier transform routines. Furthermore a particle swarm optimizer, implemented on GPU, is exploited in the first stage of the synthesis
GPU Computing in Reflectarray Synthesis / Capozzoli, A.; Curcio, C.; Liseno, A.. - (2019), pp. 69-70. ( 2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence, CEMi 2018 Sud Africa 2018) [10.1109/CEMI.2018.8610549].
GPU Computing in Reflectarray Synthesis
Capozzoli A.;Curcio C.;Liseno A.
2019
Abstract
A multistage synthesis approach for the design of aperiodic refiectarray, based on an effective and efficient implementation on GPU is presented. The pattern evaluation is accelerated thank to the use of the nonuniform fast Fourier transform routines. Furthermore a particle swarm optimizer, implemented on GPU, is exploited in the first stage of the synthesisFile 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.
