Microwave performance extraction of optically-controlled squared frequency-selective surface (FSS) structures printed on highly resistive (HR) silicon substrate are presented, from a innovative bistatic microwave photonic characterization technique operating in the 40 to 60 GHz frequency range, commonly used for radar cross section (RCS) measurements. According to typical physical photon absorption phenomenon occurring in photoconductive materials, these structures demonstrate experimentally a bandpass filtering frequency response cancellation through reflection coefficient measurements, under specific incident collective illumination in the Near-infrared region (NIR). This behaviour is attributed to their microwave surface impedance modification accordingly to the incident optical power, allowing ultrafast reconfigurability of such devices by optics
In this paper, we investigate the diffraction of complex structures applying a new hybridization between generalized PO (Physical Optic) and MoM-GEC method. The proposed approach is developed to speed up convergence, alleviate calculation and then provide a considerable gain in requirements (processing time and memory storage) because it is based on a single test function instead of numerous sinusoidal or polynomial ones. Based on this approach, each metallic pattern is modeled by a current trial function that consists of two parts. The first part is called modal current, and it is decomposed on Hankel functions for modeling metal edges. However, the second part concerns the middle of metallic patterns, and it is modeled by PO method and called generalized PO current. Based on this approach, we study the diffraction of 1D structures, then we generalize our approach to take 2D ones. For validation purpose, we investigate 1D and 2D reflectarrays to prove the new approach's benefits. The obtained results show good accuracy with the method of moments. Moreover, we prove the considerable improvements in CPU time and memory storage achieved by the hybrid approach when studying these structures.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.