Abstract
A hybrid strategy based on weighting density and genetic algorithm for the synthesis of uniformly weighted concentric ring arrays (UWCRAs) aimed at minimizing the peak sidelobe level is proposed. In the strategy, an integer genetic algorithm is used to search the ring radii. Meanwhile, the element number of each ring is directly calculated from the quantized weighting density distribution constraint of a reference array. UWCRAs with a minimum element spacing constraint of half-wavelength and wide range array apertures from small diameters to the large ones are synthesized with this strategy. Numerical experiments validate the effectiveness of the proposed strategy, showing improvements with respect to the previous results.
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