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https://hdl.handle.net/10356/106309| Title: | Implementation of a low noise amplifier with self-recovery capability | Authors: | Liu, Yanchen Zhang, Caizhi Chen, Tupei Kong, Deyu Guo, Rui Wang, J. J. Wu, Yuancong Hu, S. G. Rong, L. M. Yu, Qi Liu, Yang |
Keywords: | LNA HCI DRNTU::Engineering::Electrical and electronic engineering |
Issue Date: | 2019 | Source: | Liu, Y., Zhang, C., Chen, T., Kong, D., Guo, R., Wang, J. J., . . . Liu, Y. (2019). Implementation of a low noise amplifier with self-recovery capability. IEEE Access, 7, 43076-43083. doi:10.1109/ACCESS.2019.2907524 | Series/Report no.: | IEEE Access | Abstract: | In this paper, an RF low noise amplifier (LNA) with self-recovery capability has been designed and implemented. A degradation model of hot carrier injection (HCI) of n-channel MOSFETs is proposed to simulate the aging process of the RF circuits, and a method for monitoring the HCI degradation in the RF circuits has been developed. Self-recovery mechanism of the LNA is triggered automatically by monitoring the HCI degradation to compensate for the HCI degradation. With the self-recovery capability, the LNA can maintain its performance under HCI stress over time. The proposed LNA has been fabricated with a 0.13μm CMOS technology and the self-recovery capability has been experimentally demonstrated. | URI: | https://hdl.handle.net/10356/106309 http://hdl.handle.net/10220/48956 |
DOI: | 10.1109/ACCESS.2019.2907524 | Schools: | School of Electrical and Electronic Engineering | Rights: | © 2019 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
| Appears in Collections: | EEE Journal Articles |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Implementation of a low noise amplifier with self-recovery capability.pdf | 17.04 MB | Adobe PDF |  View/Open |
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