We deal with the development of a computationally effective approach for the synthesis of equivalently tapered, aperiodic linear arrays, i.e. arrays matching the requirements on the power pattern by acting only on the element positions and excitation phases. The computational effectiveness of the algorithm is reached by the development of a parallel Non Uniform Fast Fourier Transform (NUFFT) routine running on a Graphics Processing Units (GPU). The numerical results point out the computational and synthesis performance of the technique. For an array of 3000 elements, the parallel approach has resulted to be about 10 times faster than the sequential one.
GPU-accelerated power pattern synthesis of aperiodic linear arrays / Capozzoli, Amedeo; A., Breglia; Curcio, Claudio; Liseno, Angelo. - (2011), pp. 1-4. (Intervento presentato al convegno XXX General Assembly and Scientific Symposium of URSI tenutosi a Istanbul, Turkey nel Aug. 13-20, 2011) [10.1109/URSIGASS.2011.6050478].
GPU-accelerated power pattern synthesis of aperiodic linear arrays
CAPOZZOLI, AMEDEO;CURCIO, CLAUDIO;LISENO, ANGELO
2011
Abstract
We deal with the development of a computationally effective approach for the synthesis of equivalently tapered, aperiodic linear arrays, i.e. arrays matching the requirements on the power pattern by acting only on the element positions and excitation phases. The computational effectiveness of the algorithm is reached by the development of a parallel Non Uniform Fast Fourier Transform (NUFFT) routine running on a Graphics Processing Units (GPU). The numerical results point out the computational and synthesis performance of the technique. For an array of 3000 elements, the parallel approach has resulted to be about 10 times faster than the sequential one.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.