The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Efficient Far-Field Radio Frequency Energy Harvesting for Passively Powered Sensor Networks
Abstract
An RF-DC power conversion system is designed to efficiently convert far-field RF energy to DC voltages at very low received power and voltages. Passive rectifier circuits are designed in a 0.25 mum CMOS technology using floating gate transistors as rectifying diodes. The 36-stage rectifier can rectify input voltages as low as 50 mV with a voltage gain of 6.4 and operates with received power as low as 5.5 muW(22.6 dBm). Optimized for far field, the circuit operates at a distance of 44 m from a 4 W EIRP source. The high voltage range achieved at low load current make it ideal for use in passively powered sensor networks.
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Citations
Cites
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Zhang, R., & Ho, C. K. (2013) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2013.031813.120224 · Cited by 2,739
Boshkovska, E., Ng, D. W. K., Zlatanov, N., Koelpin, A., & Schober, R. (2017) · IEEE Transactions on Communications · doi:10.1109/tcomm.2017.2664860 · Cited by 328
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Tang, J., So, D. K. C., Zhao, N., Shojaeifard, A., & Wong, K.-K. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2785861 · Cited by 109
A fully integrated RF-powered contact lens with a single element display
Pandey, J., Liao, Y.-T., Lingley, A., Mirjalili, R., Parviz, B., & Otis, B. P. (2010) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2010.2081989 · Cited by 96
Lyu, H., Wang, J., La, J.-H., Chung, J. M., & Babakhani, A. (2018) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2018.2852680 · Cited by 47
Metadata
- Authors
- Le, T., Mayaram, K., & Fiez, T.
- Venue
- IEEE Journal of Solid-State Circuits
- Published
- 2008-05
- Volume
- 43
- Issue
- 5
- Pages
- 1287-1302
- ISSN
- 0018-9200 (ISSN-L)
- OpenAlex
- W2149831971
- Cited by
- 734
- References
- 18
- FWCI
- 17.03
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.