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GPU-accelerated power pattern synthesis of aperiodic linear arrays

A. Capozzoli, A. Breglia, C. Curcio, A. Liseno
Universita di Napoli Federico, Dipartimento di Ingegneria Biomedica, Elettronica e delle Telecomunicazioni, via Claudio 21, I 80125 Napoli (Italy)
General Assembly and Scientific Symposium, 2011 XXXth URSI

@inproceedings{capozzoli2011gpu,

   title={GPU-accelerated power pattern synthesis of aperiodic linear arrays},

   author={Capozzoli, A. and Breglia, A. and Curcio, C. and Liseno, A.},

   booktitle={General Assembly and Scientific Symposium, 2011 XXXth URSI},

   pages={1–4},

   year={2011},

   organization={IEEE}

}

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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.
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