We deal with one of the computationally most critical steps of the Phase-Only synthesis of aperiodic reflectarrays, namely, the fast evaluation of the radiation operator. We present an approach exploiting the use of a fast numerical algorithm using 2D Non-Uniform FFTs (NUFFTs) of NED (Non-Equispaced Data) type and of parallel processing on Graphics Processing Units (GPUs). A fast GPU-implementation of the NUFFT routine is achieved by exploiting a polynomial representation of the spatial and spectral windows and using the Horner polynomial calculation scheme.Numerical result highlight the performance of the developed approach.

Radiation from aperiodic reflectarrays using optimized NUFFTs / Capozzoli, A.; Curcio, C.; Liseno, A.. - (2022), pp. 585-586. (Intervento presentato al convegno 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 tenutosi a usa nel 2022) [10.1109/AP-S/USNC-URSI47032.2022.9886869].

Radiation from aperiodic reflectarrays using optimized NUFFTs

Capozzoli A.;Curcio C.;Liseno A.
2022

Abstract

We deal with one of the computationally most critical steps of the Phase-Only synthesis of aperiodic reflectarrays, namely, the fast evaluation of the radiation operator. We present an approach exploiting the use of a fast numerical algorithm using 2D Non-Uniform FFTs (NUFFTs) of NED (Non-Equispaced Data) type and of parallel processing on Graphics Processing Units (GPUs). A fast GPU-implementation of the NUFFT routine is achieved by exploiting a polynomial representation of the spatial and spectral windows and using the Horner polynomial calculation scheme.Numerical result highlight the performance of the developed approach.
2022
978-1-6654-9658-2
Radiation from aperiodic reflectarrays using optimized NUFFTs / Capozzoli, A.; Curcio, C.; Liseno, A.. - (2022), pp. 585-586. (Intervento presentato al convegno 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 tenutosi a usa nel 2022) [10.1109/AP-S/USNC-URSI47032.2022.9886869].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/928265
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