GPU-accelerated power pattern synthesis of aperiodic linear arrays

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.