journal article·2018-09-18Open access

Frequency Selective Surfaces: A Review

Rana Anwar, Lingfeng Mao, Huansheng Ning

Applied Sciences· Volume 8· Issue 9

Abstract

The intent of this paper is to provide an overview of basic concepts, types, techniques, and experimental studies of the current state-of-the-art Frequency Selective Surfaces (FSSs). FSS is a periodic surface with identical two-dimensional arrays of elements arranged on a dielectric substrate. An incoming plane wave will either be transmitted (passband) or reflected back (stopband), completely or partially, depending on the nature of array element. This occurs when the frequency of electromagnetic (EM) wave matches with the resonant frequency of the FSS elements. Therefore, an FSS is capable of passing or blocking the EM waves of certain range of frequencies in the free space; consequently, identified as spatial filters. Nowadays, FSSs have been studied comprehensively and huge growth is perceived in the field of its designing and implementation for different practical applications at frequency ranges of microwave to optical. In this review article, we illustrate the recent researches on different categories of FSSs based on structure design, array element used, and applications. We also focus on theoretical breakthroughs with fabrication techniques, experimental verifications of design examples as well as prospects and challenges, especially in the microwave regime. We emphasize their significant performance parameters, particularly focusing on how advancement in this field could facilitate innovation in advanced electromagnetics.
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Research context

OpenAlex topics: Advanced Antenna and Metasurface Technologies · Antenna Design and Analysis · Metamaterials and Metasurfaces Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China

Beijing Engineering Research Center for Cyberspace Data Analysis and Applications, Beijing 100083, China

Funding

National Natural Science Foundation of China

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