Machine Learning-Aided Design of Dielectric-Filled Slotted Waveguide Antennas With Specified Sidelobe Levels
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DOI: 10.1109/access.2022.3158976
Abstract: This paper presents the use of machine learning (ML) to facilitate the design of dielectric-filled Slotted Waveguide Antennas (SWAs) with specified sidelobe level ratios (SLR). Conventional design methods for air-filled SWAs require the simultaneous solving… read more here.
Keywords: dielectric filled; machine learning; design; design dielectric ... See more keywords