Sensitive-and-Efficient-RF-Harvesting-Supply-for-Batteryless-Backscatter-Sensor-Networks
Files of publication
In this repo presents an efficient and high sensitivity RF energy harvesting supply. The harvester consists of a single series circuit with one double diode on a low-cost, lossy FR4 substrate, despite the fact that losses decrease RF harvesting efficiency. The design targeted minimum reflection coefficient and maximum rectification efficiency, taking into account not only the impedance matching network, but also the rectifier microstrip trace dimensions and the load. The simulated and measured rectenna efficiency was 28.4% for −20 dBm power input. In order to increase sensitivity, i.e. ability to harvest energy and operate at low power density, rectennas were connected in series configuration (voltage summing), forming rectenna arrays. The proposed RF harvesting system ability was tested at various input power levels, various sizes of rectenna arrays, with or without a commercial boost converter, allowing operation at RF power density as low as 0.0139 µW/cm2 . It is emphasized that the boost converter, whenever used, was self-started, without any additional external energy. The system was tested in supplying a scatter radio sensor, showing experimentally the effect of input power density on the operational cold start duration and duty cycle of the sensor.
IEEE Xplore: https://ieeexplore.ieee.org/document/7433469
Local: http://daskalakispiros.com/files/assimonis_mtt_2014.pdf
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Citing
If you use our algorithm, please cite [1].
@article{assimonis2016sensitive,
title={Sensitive and efficient RF harvesting supply for batteryless backscatter sensor networks},
author={Assimonis, Stylianos D and Daskalakis, Spyridon-Nektarios and Bletsas, Aggelos},
journal={IEEE Transactions on Microwave Theory and Techniques},
volume={64},
number={4},
pages={1327--1338},
year={2016},
publisher={IEEE}
}
[1] S. D. Assimonis, S. N. Daskalakis and A. Bletsas, Sensitive and Efficient RF Harvesting Supply for Battery-less Backscatter Sensor Networks, IEEE Transactions on Microwave Theory and Techniques (TMTT), Vol. 64, No. 4, pp. 1327-1338, April. 2016.