Spatial filter by using multilayered FSS for orthogonal polarization conversion

Handa, Shiro; Kuse, Ryuji; Hori, Toshikazu; Fujimoto, Mitoshi

doi:10.1109/ursiap-rasc.2016.7601151

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…Such millimeter-wave thin lenses have mainly been studied in terms of improving antenna gain by transforming spherical waves into plane waves. Interestingly, most previous lens technologies utilizing the polarization characteristics of the incident waves have focused on transforming waves such that their polarization is different from that of the incident waves [5]- [7]. Recently, several polarizationdependent lenses have been reported in which the thickness is about 10% of the wavelength at their operating frequency [7]- [13].…”

Section: Introductionmentioning

confidence: 99%

Millimeter-Wave Thin Lens Using Multi-Patch Incorporated Unit Cells for Polarization-Dependent Beam Shaping

Yoon

2019

IEEE Access

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This paper describes a millimeter-wave thin lens that exhibits different beam-shaping characteristics depending on the polarization of the incident waves. The proposed unit cell topologies, which use multiple rectangular patches and rectangular-slotted grids, enable thinner (= 0.05λ 0) and smaller (= 0.168λ 0) features than in previous polarization-dependent lenses. An appropriate set of the proposed unit cells is shown to cover a tunable phase range of 180 • with respect to one polarized wave but have an almost-zero tunable range of phase shifts with respect to another polarized wave. Thus, using this unit cell set for x-polarized incident waves, the proposed lens operates as a convex lens, whereas for ypolarized incident waves, the lens operates as a frequency selective surface. This confirms that gain variations of 13 dB or more can be differentiated according to the polarization of the incident waves on the lens, supporting polarization-dependent beam-shaping capability as a function of the polarization of incident waves.

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Section: Introductionmentioning

confidence: 99%