Design and Characterization of Wideband Terahertz Metamaterial Stop-Band Filter

Author:

Li Hao,Wang JunlinORCID,Wang XinORCID,Feng Yao,Sun Zhanshuo

Abstract

We propose and design a metamaterial broadband stop-band filter with a steep cut-off in the terahertz region. The filter is based on the flexible structure of metal-dielectric-metal-dielectric-metal (MDMDM). Simulation results show that the filter has a center frequency of 1.08 THz, the square ratio reaches 0.95, and the −20 dB bandwidth reaches 1.07 THz. In addition, it has excellent flat-top characteristics with an average transmission rate in the resistive band of no more than 5%. The relative bandwidth has been up to 99%, and stopband absorption rate has reached more than 98%. The effects of the main structural parameters on the transmission characteristics are discussed. The role of each layer of metal in the filter is explored by studying the effect of the variation of the number of metal layers on the filter. The symmetry of the structure ensures the polarization insensitivity of the filter at normal incidence. The correctness of the simulation results was verified by analyzing the effective permittivity and magnetic permeability. To investigate the transmission characteristics of the metamaterial filter in-depth, we analyzed the electric field strength and surface current distribution at the center frequency of the filter. The designed terahertz filter may have potential applications in terahertz communications, sensors, and emerging terahertz technologies.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Inner Mongolia Autonomous Region of China

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Control and Systems Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A new design of ultra-thin wide stop-band metamaterial filter for terahertz waves;Optical and Quantum Electronics;2023-06-30

2. Metamaterial Based FSS for Wireless Applications with a Compact Size;2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP);2023-03-18

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