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      A Compact Thévenin Model for a Rectenna and Its Application to an RF Harvester with MPPT

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          Abstract

          This paper proposes a compact Thévenin model for a rectenna. This model is then applied to design a high-efficiency radio frequency harvester with a maximum power point tracker (MPPT). The rectenna under study consists of an L-matching network and a half-wave rectifier. The derived model is simpler and more compact than those suggested so far in the literature and includes explicit expressions of the Thévenin voltage ( V oc) and resistance and of the power efficiency related with the parameters of the rectenna. The rectenna was implemented and characterized from −30 to −10 dBm at 808 MHz. Experimental results agree with the proposed model, showing a linear current–voltage relationship as well as a maximum efficiency at V oc/2, in particular 60% at −10 dBm, which is a remarkable value. An MPPT was also used at the rectenna output in order to automatically work at the maximum efficiency point, with an overall efficiency near 50% at −10 dBm. Further tests were performed using a nearby transmitting antenna for powering a sensor node with a power consumption of 4.2 µW.

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          Ambient RF Energy Harvesting in Urban and Semi-Urban Environments

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            Resistor Emulation Approach to Low-Power RF Energy Harvesting

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              Power Management System for Online Low Power RF Energy Harvesting Optimization

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                06 April 2019
                April 2019
                : 19
                : 7
                : 1641
                Affiliations
                [1 ]e-CAT Research Group, Department of Electronic Engineering, Castelldefels School of Telecommunications and Aerospace Engineering, Universitat Politècnica de Catalunya, c/ Esteve Terradas, 7, 08860 Castelldefels (Barcelona), Spain; edgar.ripoll.vercellone@ 123456upc.edu (E.R.-V.); ferran.reverter@ 123456upc.edu (F.R.)
                [2 ]Idneo Technologies, c/ Rec de Dalt s/n., 08100 Mollet del Vallès (Barcelona), Spain
                Author notes
                [* ]Correspondence: manel.gasulla@ 123456upc.edu ; Tel.: +34-934-137-092
                Author information
                https://orcid.org/0000-0002-0364-6806
                https://orcid.org/0000-0003-0013-5354
                https://orcid.org/0000-0003-1653-0519
                Article
                sensors-19-01641
                10.3390/s19071641
                6479741
                30959869
                f67d92b8-756c-44f9-9dac-b31796e84c9c
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 28 March 2019
                : 03 April 2019
                Categories
                Article

                Biomedical engineering
                rf harvesting,rectenna,thévenin model,maximum power point tracking,mppt,l-matching network,sensor node

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