RF Energy Harvesting Techniques Research Articles

RF Energy Harvesting Techniques for Battery-Less Wireless Sensing, Industry 4.0, and Internet of Things: A Review

RF Energy Harvesting Techniques for Battery-Less Wireless Sensing, Industry 4.0, and Internet of Things: A Review

Ambient RF Energy Harvesting

In this paper, we present a study of ambient RF energy harvesting techniques. The measurement of the ambient RF power density is presented. The average of the density in broadband (1GHz- 3.5GHz) is in the order of -12dBm/m² (63µW/m²). Two systems have been studied to recover the RF energy. The first is a broadband system without matching circuit. The second is a narrow band system (1.8-1.9GHz) with a matching circuit. The rectifier circuit RF / DC and the choice of the load to optimize the DC power recovered are presented. The preliminary results indicate that the recovered energy is not sufficient to directly power devices but could be stored in a super-capacity or micro-batteries.

Design and Development of RF Energy Harvesting Module for Low Power Device using Propulsion Concepts in Renewable Energy

Energy harvesting is the need of the hour to operate small, portable and low power electronic devices for self-reliance. We focus our research on radio frequency energy harvesting. We have designed micro strip patch antenna to operate at 2.4GHz. We have analysed the capture of ambient radio frequency energy at various physical locations. We have successfully demonstrated the RF energy harvesting technique proposed for operating devices like LED, scientific calculator and battery charging. In this paper we have verified the RF energy harvesting technique through Hardware implementation.

Machine Learning Approach for Wirelessly Powered RFID-Based Backscattering Sensor System

A RFID-based backscattering sensor system is low-cost and scalable wireless sensing technology. It takes advantage of RF energy harvesting technique, wireless power transfer and backscattering principle. It also has uncountable number of applications due to its versatility. In this paper, operation principle, architecture and machine learning technique for wirelessly powered RFID-based backscattering sensor system is presented. For the sensor tag-reading and power-delivering algorithm, machine learning techniques, such as support vector machine (SVM), artificial neural networks (ANN), and naive Bayes algorithm, are introduced with experimental verifications. The supervised SVM algorithm significantly improved reading accuracy of chipless RFID sensor tags due to superior signal classification performance of the SVM method. The ANN-based adaptive dynamic matching network for magnetic resonant wireless power transfer system improved wireless power transfer distance efficiently. Position estimation method based on the naive Bayes algorithm that is essential for smart wireless power transfer platform for wirelessly powered drones is also discussed in this paper.

Cross Layered Design and RF Energy Harvesting Techniques: A Survey

Cross Layered Design and RF Energy Harvesting Techniques: A Survey

Effect of Parallel Capacitor in Matching Network of RF Energy Harvesting Circuit

This paper is an outcome of a wide research on RF energy harvesting techniques presented so far along with the development and implementation of the new idea of using a matching network with and without including parallel capacitance. While working with variable signal power in RF energy harvesting there is always a problem with nonlinear behavior of rectifying diode in harvesting circuit, to overcome the same a variety of matching networks are proposed in this manuscript with the variable RF power along with the variable load. Simulation results shows that output has been achieved upto 1.8Volts with maximum power conversion efficiency up to 79% at -10 dBm input power. Experimental results represented DC output of 1.62 volts at a frequency of 900 MHz with -10 dBm input power. Optimization technique is used to select parameters value which maximizes output voltage and efficiency. Variation of load resistance and input power plays a major role in output voltage and conversion efficiency. Comparison of the same is also presented in this particular research paper.

In brief

PAGE 105 The transient off-state thermal emission leakage currents of hydrogenated amorphous silicon and indium gallium zinc oxide metal oxide thin-film transistors fabricated on flexible plastic substrates have been examined by researchers in the US. They have also shown that the observed transient leakage currents result in a shot noise that is twenty times larger than predicted using only conventional static leakage current measurements. PAGE 111 Researchers in the UK have presented an RF energy harvesting technique for powering small devices. Their work focuses on harvesting power from ambient radio waves, which is particularly useful in sensor networks where energy requirements are low and appeals as a solution to make them self-sustaining. The observed shot noise was 20 times greater than static leakage current measurements predicted PAGE 107 The first experimental demonstration of a continuous wave two-pump fibre optic parametric amplifier has been reported by researchers in France. Their device is of primary interest in the amplification of chirped pulses, and should allow for an all-fibre parametric amplifier operating at 1 µm with a flat gain band. The RF energy harvesting technique is aimed at allowing self-sustaining sensor networks PAGE 98 Researchers in Korea have devised a simple and cost-effective epitaxial graphene fabrication technique that results in good electric performance. This approach is expected to pave the way for a more cost-effective formation of highly reliable, low sheet resistance graphene, particularly for SiC-based electronic devices, power devices, SiC-graphene hetero-junctions and graphene-on-insulator semiconductors. The amplifier uses a dispersion stabilised microstructured optical fibre with high nonlinearity and low loss PAGE 93 Researchers in France have realised and measured an innovative microwave transmission line which can be integrated into complex multilayer systems. A multilayer structure like transmission line is essential to any telecommunication and radar power devices, such as power modules, solid state power transmitters, filters or any distribution system in that frequency range. A simpler and cheaper way to make graphene with low sheet resistance Thermal simulations suggest the structures will handle 50W average RF powers making them suitable for x-band power combination