Computationally Optimized Convolution-Driven AMC Metasurface for Wideband Antenna Performance and RCS Reduction
摘要
This paper presents a computationally optimized convolution-driven artificial magnetic conductor (AMC) metasurface that enhances both the radiation characteristics and radar cross-section (RCS) performance of a bow-tie patch antenna. The proposed AMC structure, designed with a limited number of unit cells and paired electric walls, ensures wideband operation while preserving compactness and high efficiency, particularly when integrated on metallic platforms. A circular-slot-embedded AMC topology is introduced to achieve broadband low-scattering performance. The AMC surface not only supports antenna performance enhancement when placed beneath the radiator but also demonstrates the capability to operate independently as a radiating element. Full-wave simulations and experimental validation confirm a notable RCS reduction exceeding 10 dB across the 8.94–14.06 GHz frequency range and a realized gain enhancement of over 7.68 dBi within the same band. The antenna's radiation patterns, directivity, and surface current behavior are comprehensively analyzed, confirming the potential of the proposed design for next-generation stealth-compatible and wideband communication systems.