We extend the current-based metasurface synthesis of tensorial surface impedance to demonstrate beam switching with multiple feeds and one-beam-per-feed. The process optimizes the surface current (as opposed to impedance), and impedance determination is carried out as a post-processing. The cost functional encodes tensor-impedance passivity and realizability, and far-field masks. To achieve beam switching, we add a functional enforcing pairwise cross-testing constraints among all excitations to ensure co-existence of multiple currents on the same aperture due to different feeds. The resulting current-only problem is solved with a nonlinear conjugate-gradient method featuring a closed-form line search, and the optimized tensor impedance is realized using unit cells ad-hoc selected from a database of precomputed geometries.
Current-Based Synthesis of Beam Switching Metasurface Antennas / Samadzadehghezelghayeh, S., Teodorani, L., Zucchi, M., Vecchi, G.. - (2026), pp. 1-4. (20th European Conference on Antennas and Propagation (EuCAP) Dublin, Ireland 19-24 April 2026) [10.23919/eucap68105.2026.11612068].
Current-Based Synthesis of Beam Switching Metasurface Antennas
Samadzadehghezelghayeh, Shaghayegh;Teodorani, Lucia;Zucchi, Marcello;Vecchi, Giuseppe
2026
Abstract
We extend the current-based metasurface synthesis of tensorial surface impedance to demonstrate beam switching with multiple feeds and one-beam-per-feed. The process optimizes the surface current (as opposed to impedance), and impedance determination is carried out as a post-processing. The cost functional encodes tensor-impedance passivity and realizability, and far-field masks. To achieve beam switching, we add a functional enforcing pairwise cross-testing constraints among all excitations to ensure co-existence of multiple currents on the same aperture due to different feeds. The resulting current-only problem is solved with a nonlinear conjugate-gradient method featuring a closed-form line search, and the optimized tensor impedance is realized using unit cells ad-hoc selected from a database of precomputed geometries.Pubblicazioni consigliate
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https://hdl.handle.net/11583/3014941
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