Spatially Fed Array Optimization with Adaptive Templates

Abstract

This work presents two techniques for synthesizing Spatially Fed Array antennas within the framework of the Intersection Approach. The first technique introduces a methodology to address highly complex synthesis problems, particularly for optimizing antennas that require complex near-field shaped patterns. The second technique offers an acceleration of the gradient computation in optimization algorithms, reducing the computation times and making nearfield synthesis more manageable. Both techniques are integrated within the Intersection Approach for the synthesis of a metalens. The presented example achieves a uniform near-field pattern over a relatively large area, starting from a focused near-field beam.