Optimization of UHF RFID Five-Slotted Patch Tag Design Using PSO Algorithm for Biomedical Sensing Systems

Ibtissame Bouhassoune, Abdellah Chehri, Rachid Saadane and Khalid Minaoui
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Ibtissame Bouhassoune: LRIT Laboratory, Mohammed V University, Rabat 10106, Morocco
Abdellah Chehri: Department of Applied Sciences, University of Quebec in Chicoutimi, Chicoutimi, QC G7H 2B1, Canada
Rachid Saadane: SIRC/LaGeS-EHTP, EHTP Km 7 Route, El Jadida 20230, Morocco
Khalid Minaoui: LRIT Laboratory, Mohammed V University, Rabat 10106, Morocco

IJERPH, 2020, vol. 17, issue 22, 1-18

Abstract: In this paper, a new flexible wearable radio frequency identification (RFID) five-shaped slot patch tag placed on the human arm is designed for ultra-high frequency (UHF) healthcare sensing applications. The compact proposed tag consists of a patch structure provided with five shaped slot radiators and a flexible substrate, which minimize the human body’s impact on the antenna radiation performance. We have optimized our designed tag using the particle swarm optimization (PSO) method with curve fitting within MATLAB to minimize antenna parameters to achieve a good return loss and an attractive radiation performance in the operating band. The PSO-optimized tag’s performance has been examined over the specific placement in some parts of the human body, such as wrist and chest, to evaluate the tag response and enable our tag antenna conception in wearable biomedical sensing applications. Finally, we have tested the robustness of this tag by evaluating its sensitivity as a function of the antenna radiator placement over the ground plane or by shaping the ground plane substrate for the tag’s position from the human body. Our numerical results show an optimal tag size with good matching features and promising read ranges near the human body.

Keywords: radio frequency identification (RFID); UHF band; wearable RFID tag; PSO algorithm; tag robustness (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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