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A Compact Source-Load Agnostic Flexible Rectenna Topology for IoT Devices
IEEE Transactions on Antennas and Propagation ( IF 4.6 ) Pub Date : 2020-04-01 , DOI: 10.1109/tap.2019.2955211
Aline Eid , Jimmy G. D. Hester , Joseph Costantine , Youssef Tawk , Ali H. Ramadan , Manos M. Tentzeris

This article presents a new compact lightweight radio frequency (RF) energy harvesting system. The system relies on a dual-tapered transmission line-based matching network that stretches the rectification capability of an integrated Schottky diode. This topology is demonstrated on a 2.4 GHz rigid harvesting system with a resulting power conversion efficiency that reaches up to 58% over 0 dBm input RF power. Its performance is compared with a reference rectifier that relies on a typical open circuit shunt-stub matching network. The rectifier along with a miniaturized monopole antenna is then tailored for a flexible substrate with a resulting efficiency around 50% at 0 dBm input power. The rectifier exhibits an almost flat efficiency over the 2.3–2.5 GHz frequency span despite wide load variations. The system is characterized in multiple bent configurations featuring high and stable performance. It is demonstrated that for different bent states, the proposed flexible harvester does not display large variations in harvested power. Thus, the presented rectenna demonstrates the remarkable combination of compactness, flexibility, and stability. Equipped with these features, such rectifier can be plugged into a variety of sensors, even on wearable surfaces, which makes it ideal for Internet of Things (IoT) applications.

中文翻译:

用于物联网设备的紧凑型源负载不可知柔性整流天线拓扑

本文介绍了一种新型紧凑型轻型射频 (RF) 能量收集系统。该系统依赖于基于双锥形传输线的匹配网络,可扩展集成肖特基二极管的整流能力。这种拓扑结构在 2.4 GHz 刚性采集系统上进行了演示,所产生的功率转换效率在 0 dBm 输入射频功率上可达到高达 58%。将其性能与依赖于典型开路并联支路匹配网络的参考整流器进行比较。然后,整流器和微型单极天线针对柔性基板进行定制,在 0 dBm 输入功率下的效率约为 50%。尽管负载变化很大,但整流器在 2.3-2.5 GHz 频率范围内表现出几乎平坦的效率。该系统具有多种弯曲配置,性能高且稳定。结果表明,对于不同的弯曲状态,所提出的柔性采集器在采集功率方面没有表现出很大的变化。因此,所提出的整流天线展示了紧凑性、灵活性和稳定性的显着组合。配备这些功能,这种整流器可以插入各种传感器,甚至可穿戴表面,这使其成为物联网 (IoT) 应用的理想选择。
更新日期:2020-04-01
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