Litcius/Paper detail

Design of Miniaturized Incident Angle-Insensitive 2.45 GHz RF-Based Energy Harvesting System for IoT Applications

Jeong-Su Park, Yu-Seong Choi, Wang‐Sang Lee

2021IEEE Transactions on Antennas and Propagation37 citationsDOI

Abstract

Using a license-free industrial, scientific, and medical (ISM) frequency band as 2.45 GHz, a miniaturized incident angle-insensitive radio frequency (RF) energy harvester design for the Internet-of-Things (IoT) applications is proposed. For incident angle insensitivity of ambient RF energy and a low-profile compact design, the proposed harvester is used to a two-layer printed circuit board (PCB) substrate, which consists of orthogonally deployed antennas with an <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$LC$ </tex-math></inline-formula> balun, impedance matching, and Dickson charge pump circuits at each layer. The dual-polarized antenna for miniaturized design uses a bowtie-shaped meander dipole antenna having orthogonal arrangement. By measuring the efficiency of each diode stage of the rectifier circuit, a two-stage Dickson charge pump circuit with optimal efficiency was selected, and the dc outputs of the two rectifier circuits are connected in parallel. This rectifier circuit has a conversion efficiency of up to 71.4% and harvests approximately 1.6 times more power than a single-polarized circuit from any incident ambient RF signal. Due to its compact size and improved harvesting power at various incident angles, the proposed energy harvester can act as a power source, such as many kinds of ultralow power consumption systems, such as IoT sensors and medical applications.

Topics & Concepts

RectennaBalunRectifier (neural networks)Energy harvestingElectrical engineeringAntenna (radio)Impedance matchingComputer scienceElectronic circuitCapacitorRadio frequencyAntenna tunerDipole antennaOptoelectronicsMaterials sciencePower (physics)PhysicsElectrical impedanceVoltageEngineeringAntenna efficiencyQuantum mechanicsStochastic neural networkRecurrent neural networkMachine learningArtificial neural networkEnergy Harvesting in Wireless NetworksWireless Power Transfer SystemsAntenna Design and Analysis