# RFID Ultra-High Frequency Tag Antenna Based on SRR Resonant Superstrate

## TL;DR

This paper introduces a new RFID tag antenna design using a Split-Ring Resonator to improve communication range and performance in real-world applications.

## Contribution

A novel UHF RFID tag antenna using an SRR resonant superstrate to enhance gain and communication range is proposed.

## Key findings

- The RFID antenna's forward reading distance increased by up to 62.1% in the 920–925 MHz band.
- The SRR resonant superstrate significantly improves antenna performance in complex environments.
- The design enables more stable and efficient long-range RFID identification for logistics and smart warehousing.

## Abstract

Addressing the pressing need to extend the communication range of RF RFID tag antennas, this paper introduces a novel UHF RFID tag antenna technology based on resonant superstrate regulation using a Split-Ring Resonator (SRR). First, a finite element model of the UHF RFID folded dipole antenna was constructed based on the tag chip’s port impedance. Subsequently, a Two-element SRR resonant superstrate was employed to enhance the dipole antenna’s gain through “resonance and near-field coupling” technology. A folded dipole antenna gain-enhancing SRR resonant superstrate unit was designed, and a multi-parameter joint optimization method was adopted to obtain the optimal SRR resonant superstrate configuration for regulating the dipole antenna. Near-field coupling technology was used to design SRR resonant superstrate elements that enhance the folded dipole antenna’s gain. A multi-parameter joint optimization method was employed to obtain the optimal structural parameter set for the SRR resonant superstrate-controlled dipole antenna. Finally, simulations and experimental measurements of the RFID antenna performance revealed that: within the 920–925 MHz band, the maximum measured forward reading distance enhancement reached 62.1%. The research findings significantly enhance the practical performance of UHF RFID tags in complex environments, enabling more stable and efficient long-range identification in applications such as logistics tracking, asset management, and smart warehousing.