Citation

Yau, Usman and Tiang, Jun Jiat and Muhammad, Surajo and Mallat, Nazih Khaddaj and Usman, Aliyu Danjuma and Yau, Isiyaku (2026) Wideband RCN-based RF Rectifier for Multi-Source Wireless Energy Harvesting. IEEE Internet of Things Journal. p. 1. ISSN 2372-2541

Text 25.pdf - Published Version Restricted to Repository staff only Download (3MB)

Abstract

his paper presents a wideband RF rectifier architecture designed for efficient wireless energy harvesting across multiple ambient power sources. The proposed architecture integrates a resistance compression network (RCN) with a modified L-section impedance matching network (IMN) to ensure a stable input impedance over a wide operating band. The design is divided into two stages, each designed with a modified Lsection matching network (MN) realized through a series of impedance transformer (ITx). To achieve broadband matching, a wideband RCN is incorporated to couple the dual rectifier stages to the 50Ω transmission line (TL). The rectifier, fabricated on an FR-4 substrate and employing HSMS-2850 Schottky diodes, exhibits a simulated (measured) operating bandwidth (BW) of 1.23 GHz (1.22 GHz) across the 1.63 - 2.86 GHz and 1.62 - 2.84 GHz range. This corresponds to a fractional bandwidth (FBW) of 54.8% simulated and 54.7% measured. Experimental measurements show that the rectifier achieves a peak RF-toDC power-conversion efficiency (PCE) of 75% at an input level Pin of 8 dBm, while sustaining stable operation under typical ambient RF conditions. The proposed design enables a broad range of usable RF Pin, extending from -30 dBm up to 10 dBm, when evaluated across a 2 kΩ load. The results indicate that the proposed architecture can effectively support low power Internet of Things (IoT) and wearable devices by ensuring dependable energy acquisition across several communication bands.

Item Type:	Article
Uncontrolled Keywords:	RF energy harvesting (RFEH), resistance compression network (RCN)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001-1841 Production of electric energy or power. Powerplants. Central stations
Divisions:	Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	02 Jul 2026 02:04
Last Modified:	02 Jul 2026 02:04
URII:	http://shdl.mmu.edu.my/id/eprint/16199

Downloads

Edit (login required)