期刊
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
卷 66, 期 8, 页码 3995-4007出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAP.2018.2835566
关键词
Computational electromagnetics; ordinary kriging (OK); reflectarrays; scattering matrix; statistical learning
资金
- Italian Ministry of Foreign Affairs
- International Cooperation, Directorate General for Cultural and Economic Promotion and Innovation
- Universidad Carlos III de Madrid (Spain)
An innovative strategy based on an advanced statistical learning method is introduced to efficiently and accurately predict the electromagnetic response of complex-shaped reflectarray elements. The computation of the scattering coefficients of periodic arrangements, characterized by an arbitrary number of degrees of freedom, is first recast as a vectorial regression problem and then solved with a learning-by-example strategy exploiting the ordinary kriging paradigm. A set of representative numerical experiments dealing with different element geometries is presented to assess the accuracy, the computational efficiency, and the flexibility of the proposed technique also in comparison with state-of-the-art machine learning methods.
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