Energy Harvesting Analysis for Next Generation Passive RFID Tags

S. Haddadian, C. Scheytt, R. Kramer, in: ANALOG 2017; 16th ITG/GMM-Symposium, Technische Universität Berlin, Berlin, Germany, 2017, p. 18.

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Conference Paper | English
Abstract
This paper focuses on the design of a high efficiency cross-connected differential drive rectifier for next-generation passive RFID tags. To provide a realistic estimation of the transponders’power and efficiency requirements at 5.8 GHz, detailed link/power-budget analysis for various blocks of the tag chip is carried out. From link budget analysis realistic RF power levels are obtained and a rectifier with high conversion efficiency at low power levels is designed. Simulations based on a commercial 65nm CMOS technology investigate the suitability of the harvesting circuit for 5.8 GHz RFID tags.
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ANALOG 2017; 16th ITG/GMM-Symposium
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18
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Haddadian S, Scheytt C, Kramer R. Energy Harvesting Analysis for Next Generation Passive RFID Tags. In: ANALOG 2017; 16th ITG/GMM-Symposium. Technische Universität Berlin; 2017:18.
Haddadian, S., Scheytt, C., & Kramer, R. (2017). Energy Harvesting Analysis for Next Generation Passive RFID Tags. ANALOG 2017; 16th ITG/GMM-Symposium, 18.
@inproceedings{Haddadian_Scheytt_Kramer_2017, place={Berlin, Germany}, title={Energy Harvesting Analysis for Next Generation Passive RFID Tags}, booktitle={ANALOG 2017; 16th ITG/GMM-Symposium}, publisher={Technische Universität Berlin}, author={Haddadian, Sanaz and Scheytt, Christoph and Kramer, Roland}, year={2017}, pages={18} }
Haddadian, Sanaz, Christoph Scheytt, and Roland Kramer. “Energy Harvesting Analysis for Next Generation Passive RFID Tags.” In ANALOG 2017; 16th ITG/GMM-Symposium, 18. Berlin, Germany: Technische Universität Berlin, 2017.
S. Haddadian, C. Scheytt, and R. Kramer, “Energy Harvesting Analysis for Next Generation Passive RFID Tags,” in ANALOG 2017; 16th ITG/GMM-Symposium, 2017, p. 18.
Haddadian, Sanaz, et al. “Energy Harvesting Analysis for Next Generation Passive RFID Tags.” ANALOG 2017; 16th ITG/GMM-Symposium, Technische Universität Berlin, 2017, p. 18.

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