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Efficient RF energy harvest with a novel broadband Vivaldi rectenna
Author(s) -
Shi Yanyan,
Jing Jianwei,
Fan Yue,
Yang Lan,
Pang Jiafei,
Wang Meng
Publication year - 2018
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.31362
Subject(s) - rectenna , vivaldi antenna , dbm , broadband , energy conversion efficiency , stub (electronics) , electrical engineering , bandwidth (computing) , electronic engineering , voltage , rectifier (neural networks) , optoelectronics , engineering , antenna (radio) , materials science , computer science , telecommunications , antenna measurement , rectification , amplifier , stochastic neural network , machine learning , recurrent neural network , artificial neural network
In this article, a compact broadband rectifying antenna (rectenna) is proposed to harvest RF energy. A novel Vivaldi antenna is presented and an efficient rectifier with a single stub matching network is designed. Simulation and experiment have been performed and a good convergence is observed between the simulated and measured results. The experimental results show that the antenna features a broad bandwidth from 2.3 GHz to 2.85 GHz and the maximum conversion efficiency of the rectifier is up to 68% at 0 dBm. The maximum conversion efficiency and output voltage of the proposed rectenna are 58% and 1.6 V at 2.45 GHz under the input power of 0 dBm.