Design of Dual-Loaded RFID Tag for Higher Order Modulations

Abstract

A touchstone for selecting two scattering states for scalar differential backscattering in passive scatterers was introduced by Green in 1963. According to this model, a scatterer has one global minimum and one global maximum scattering states on its Γ plane. The variation of radar cross section (RCS) of the scatterer between these two states is monotonic. Thus, to achieve to the highest differential backscattering the scatterer should switch between these two states. In this paper, we verify, by measurements and simulations, that a linear half-wave dipole antenna behaves as predicted by the Green model. However, we show that the RCS of a T-match bow tie antenna over its Γ plane cannot be modeled by the Green model and instead the antenna has two maximum scattering states on its Γ plane. In the next step, we use dual loading on the T-match bowtie antenna structure. By appropriate selection of the loads, the antenna can provide various scattering states with various magnitudes in 360° phase span in its in-phase and quadrature plane. This feature of the proposed antenna can be used to increase the modulation depth up to 170%, provide a quasi-32-quasi-quadrature amplitude shift keying, and increase the coverage range in backscattering links.

Department(s)

Electrical and Computer Engineering

Research Center/Lab(s)

Intelligent Systems Center

Keywords and Phrases

Antenna Scattering; Differential Backscattering; Radar Cross Section (RCS); Radio Frequency Identification (RFID); T-Matched Antenna; Amplitude Shift Keying; Dipole Antennas; Modulation; Bow-Tie Antennas; Coverage Ranges; Global Maximum; Half-Wave Dipole; Higher Order Modulation; Matched Antennas; Scattering State

International Standard Serial Number (ISSN)

0018-9480

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2017 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Jan 2018

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