Detection of Low Sugar Concentration Solution Using Frequency Selective Surface (FSS)

Ishak, N.S.; Seman, Fauziahanim Che; Zainal, Nurfarina; Awang, Nik Azimatolakma

doi:10.32604/cmc.2022.022694

Cited by 2 publications

(2 citation statements)

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“…( 51) and substituted in the Eq. ( 40) for evaluation of the reflection coefficient R mnr , as suggested in [7].…”

Section: Structurementioning

confidence: 99%

“…Frequency selective surfaces (FSS) have attracted a lot of attention in recent years as a method of constructing spatial filters because they may impart filtering features in the spatial domain [1][2][3][4][5]. Recent study has sought to build and promote a square shaped loop, circumferential ring, ellipsoid, hexagonal geometry, and a cross dipole as geometric patterns that might be employed in the electromagnetic spectrum [6][7][8]. These filters are used in telecommunications to control electromagnetic radiation.…”

Section: Introductionmentioning

confidence: 99%

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Modelling of Wideband Concentric Ring Frequency Selective Surface for�G燚evices

Kapoor¹,

Kumar²,

Mishra³

2023

Computers, Materials &Amp; Continua

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Frequency selective surfaces (FSSs) play an important role in wireless systems as these can be used as filters, in isolating the unwanted radiation, in microstrip patch antennas for improving the performance of these antennas and in other 5G applications. The analysis and design of the double concentric ring frequency selective surface (DCRFSS) is presented in this research. In the sub-6 GHz 5G FR1 spectrum, a computational synthesis technique for creating DCRFSS based spatial filters is proposed. The analytical tools presented in this study can be used to gain a better understanding of filtering processes and for constructing the spatial filters. Variation of the loop sizes, angles of incidence, and polarization of the concentric rings are the factors which influence the transmission coefficient as per the thorough investigation performed in this paper. A novel synthesis approach based on mathematical equations that may be used to determine the physical parameters of DCRFSSbased spatial filters is presented. The proposed synthesis technique is validated by comparing results from high frequency structure simulator (HFSS), Ansys electronic desktop circuit editor, and an experimental setup. Furthermore, the findings acquired from a unit cell are expanded to a 2 × 2 array, which shows identical performance and therefore proves its stability.

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“…( 51) and substituted in the Eq. ( 40) for evaluation of the reflection coefficient R mnr , as suggested in [7].…”

Section: Structurementioning

confidence: 99%