Gain-Enhanced Planar Log-Periodic Dipole Array Antenna Using Nonresonant Metamaterial

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Gain-Enhanced Planar Log-Periodic Dipole Array Antenna Using Nonresonant Metamaterial
Title:
Gain-Enhanced Planar Log-Periodic Dipole Array Antenna Using Nonresonant Metamaterial
Journal Title:
IEEE Transactions on Antennas and Propagation
Keywords:
Publication Date:
26 June 2019
Citation:
G. Zhai et al., "Gain-Enhanced Planar Log-Periodic Dipole Array Antenna Using Nonresonant Metamaterial," in IEEE Transactions on Antennas and Propagation, vol. 67, no. 9, pp. 6193-6198, Sept. 2019. doi: 10.1109/TAP.2019.2924111
Abstract:
In this communication, a novel nonresonant metamaterial (MTM) structure is proposed to enhance the gain of the clamped-mode planar log-periodic dipole array (CMPLPDA) antenna fed by substrate integrated waveguide. The proposed MTM structures composed of a series of metallic semiring patches are printed on both sides of the antenna substrate, featuring low loss, broadband, and easy integration. Different arrangements of the nonresonant MTM with respect to the dipoles of the CMPLPDA antenna are investigated and compared. The proposed gain-enhanced method based on the nonresonant MTM has been studied through both numerical simulations and experiments. Compared to the original CMPLPDA antenna without any MTM inclusions, the proposed CMPLPDA antenna fully loaded with nonresonant MTM inclusions exhibits a gain enhancement of at least 1.6 dB (up to 4 dB at 27 GHz) within the operating band of 26-40 GHz in the simulations, which is also validated by the experiments.
License type:
Publisher Copyright
Funding Info:
This research / project is supported by the Economic Development Board, Singapore - Space Research Programme
Grant Reference no. : S14-1138-IAF, S15-1322-IAF OSTIN-SIAG

This work was supported in part by the Natural Science Foundation of Shanghai under Grant 16ZR1445800, in part by the Open Foundation of the State Key Laboratory of Millimeter Waves under Grant 201621, in part by the Shanghai Key Laboratory of Multidimensional Information Processing East China Normal University, in part by the Shanghai Pujiang Program under Grant 18PJ1403200, in part by Fundamental Research Funds for Central Universities.
Description:
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
ISSN:
0018-926X
1558-2221
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