%K Local Optimization, Array Synthesis, Sub-Arraying
%I ELEDIA Research Center - University of Trento
%A Arianna BENONI
%A Paolo ROCCA
%A Nicola ANSELMI
%A Andrea MASSA
%D 2024
%X This paper addresses the clustering of linear phased arrays (PAs) by adopting complex weights. Exploiting the locality-preservation property inherent in the Hilbert curve, the problem's
dimensionality is heavily reduced.
Subsequently, a basic clustering algorithm is implemented to optimize the alignment of the radiated pattern with a predetermined reference. We comprehensively evaluate both contiguous and noncontiguous partitions of the Hilbert-ordered list of complex excitations to thoroughly sample the solution space.
Representative results, including reference PAs generating steered pencil and shaped beams, are
presented for validation and to highlight the effectiveness of our approach compared to state-of-the-art k-means algorithms.
%L elediasc12886
%T Clustered Linear Arrays with Hilbert-Ordered Excitations