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article · FUDMA Journal of Sciences

OPTIMIZED EIGHTH-ORDER ACTIVE-R BANDPASS FILTER FOR UHF RFID SYSTEMS: DESIGN, SIMULATION, AND EXPERIMENTAL VALIDATION

2025Open accessBenue State University

In plain language

Ultra-high frequency (UHF) radio frequency identification (RFID) receivers require bandpass filters to isolate target signals backscattered by tags while rejecting out-of-band interference. This research focuses on the design, simulation, and physical construction of an eighth-order active-R bandpass filter employing a multiple feedback topology. The filter targets the receiver front end, accommodating the EPC standard modulation frequency range spanning 40 kHz to 640 kHz. Circuit simulations performed in MultiSim 11.1 were benchmarked against a physically constructed prototype across key performance metrics including gain, bandwidth, and roll-off rate. Experimental testing demonstrated a maximum pass-band gain of 118.02 dB and a roll-off rate of -64.93 dB/decade. In comparison, the simulated model achieved a bandwidth of 25.10 kHz against 23.53 kHz recorded for the experimental hardware, confirming the functionality of the physical circuit against theoretical and simulated expectations.

Key takeaways

  • An eighth-order active-R bandpass filter using a multiple feedback topology was designed, simulated, and physically constructed for UHF RFID receivers.
  • The filter design accommodates tag-to-reader communication within the EPC standard modulation range of 40 kHz to 640 kHz.
  • Experimental testing of the constructed filter achieved a maximum pass-band gain of 118.02 dB.
  • The physical prototype achieved an experimental bandwidth of 23.53 kHz compared to 25.10 kHz in computer simulations.

Why it matters

RFID systems rely on clean signal acquisition in crowded electromagnetic environments. UHF RFID tags communicate across specific modulation frequencies, making tightly controlled filtering essential to suppress unwanted noise. By demonstrating high gain and steep roll-off in a physically realised filter, this work shows how receiver front ends can reliably capture weak backscattered signals in line with industry communication standards.

Commercialisation angle

This filter architecture could be applied in commercial UHF RFID reader front ends, particularly for industrial asset tracking and inventory management systems operating under EPC standards. Because the design has moved beyond software simulation into a constructed, physically tested experimental prototype, the technology appears to be applied and tested, though further integration into complete reader chipsets or commercial hardware units would be required before market deployment.

AI-generated from the published abstract. Always read the original work before citing.

Abstract

This paper presents a functioning bandpass filter required for the front-end of the UHF RFID receiver since all signals outside the ultra-high frequency (UHF) time-shifting signals backscattered by the transmitter should be filtered. Therefore, taking into cognisance the wide range of link frequencies that the UHF EPC for UHF RFID allows, it is necessary to develop a filter with tight bandwidth to receive the RFID signal. This study addresses the challenge of designing an efficient eighth-order bandpass filter using multiple feedback topology for UHF RFID applications, overcoming limitations of conventional filters in terms of bandwidth control, roll-off rate and gain performance. The EPC standard for UHF RFID permits the communication from the RFID tag to reader in a modulation frequency that ranges from 40 kHz to 640 kHz. The eighth order active R bandpass filter utilizing the multiple feedback was designed by using the multiSim simulation software version 11.1. Comparisons were made between the simulated and constructed filters, Performance metrics were evaluated based on gain, bandwidth, and roll-off rate, comparing simulated and constructed filters to theoretical expectations. Results obtained were compared using filter theory of maximum gain, bandwidth and roll-off rate. The experimental results show a maximum pass-band gain of 118.02 dB, 112.10 dB better than the 109.89dB and 106.50 dB, a roll-off rate of -64.93 dB/decade, 65.549 dB/decade better than the -73.226 dB/decade of the Simulated filter but a bandwidth of 25.10 kHz of the Simulated filter better than the 23.53kHz of the experimental filter, demonstrating improved performance over...

Research topics

  • Advanced Adaptive Filtering Techniques
  • Analog and Mixed-Signal Circuit Design
  • Control Systems and Identification

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DOI: 10.33003/fjs-2025-0902-3127

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