Efficient RF energy harvesting by using a fractal structured rectenna system

Sechang Oh; Mouli Ramasamy; Vijay K. Varadan

doi:10.1117/12.2045182

16 April 2014 Efficient RF energy harvesting by using a fractal structured rectenna system

Sechang Oh, Mouli Ramasamy, Vijay K. Varadan

Proceedings Volume 9060, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2014; 90601B (2014) https://doi.org/10.1117/12.2045182
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2014, San Diego, California, United States

Abstract

A rectenna system delivers, collects, and converts RF energy into direct current to power the electronic devices or recharge batteries. It consists of an antenna for receiving RF power, an input filter for processing energy and impedance matching, a rectifier, an output filter, and a load resistor. However, the conventional rectenna systems have drawback in terms of power generation, as the single resonant frequency of an antenna can generate only low power compared to multiple resonant frequencies. A multi band rectenna system is an optimal solution to generate more power. This paper proposes the design of a novel rectenna system, which involves developing a multi band rectenna with a fractal structured antenna to facilitate an increase in energy harvesting from various sources like Wi-Fi, TV signals, mobile networks and other ambient sources, eliminating the limitation of a single band technique. The usage of fractal antennas effects certain prominent advantages in terms of size and multiple resonances. Even though, a fractal antenna incorporates multiple resonances, controlling the resonant frequencies is an important aspect to generate power from the various desired RF sources. Hence, this paper also describes the design parameters of the fractal antenna and the methods to control the multi band frequency.

Citation Download Citation

Sechang Oh, Mouli Ramasamy, and Vijay K. Varadan "Efficient RF energy harvesting by using a fractal structured rectenna system", Proc. SPIE 9060, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2014, 90601B (16 April 2014); https://doi.org/10.1117/12.2045182

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KEYWORDS

Antennas

Fractal analysis

Energy harvesting

Linear filtering

Telecommunications

Autoregressive models

Medicine

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