A 2–18-GHz Reconfigurable Low-Noise Amplifier With 2.45–3.4-dB NF in 65-nm CMOS

An ultra-wideband (UWB) reconfigurable low-noise amplifier (LNA) is proposed using 65-nm CMOS technology in this article. It consists of a two-stage amplifier with a novel reconfigurable feedback network (RCFN) used at the first stage and a reconfigurable load network (RCLN) at the drain terminals of each stage. The RCFN is employed to significantly reduce the noise figure (NF) at high frequencies and enhance the overall noise performance of the wideband LNA, while the RCLN is utilized to improve the gain and ensure a well-maintained gain flatness. Meanwhile, the current-reuse technique is also introduced to achieve power reduction. With all these techniques, a reconfigurable LNA that can have UWB coverage is readily obtained with low NF, low power consumption, and excellent gain/noise flatness. To demonstrate the proposed techniques, an LNA prototype is designed, fabricated, and measured. The measurement results show that the operating frequency of LNA can cover from 2 to 18 GHz including a low band of 2–8 GHz and a high band of 8–18 GHz, while achieving a peak gain of 16.6 dB. The gain variation over the full bandwidth is within 2.2 dB while the measured NF ranges from 2.45 to 3.4 dB. Additionally, the measured input 1 dB compression point (IP1 dB) varies from −16 to −12.1 dBm. The proposed LNA operates at a power supply of 1.5 V with a power consumption of less than 12 mW. A good agreement between simulation and measurement is obtained.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Microwave Theory and Techniques
Published
2024-09-19
DOI
https://doi.org/10.1109/tmtt.2024.3457589
Citations
7
Primary Topic
Radio Frequency Integrated Circuit Design
Type
article
Field-Weighted Citation Impact
1.46

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A 2–18-GHz Reconfigurable Low-Noise Amplifier With 2.45–3.4-dB NF in 65-nm CMOS

Tao Yang, Shuangyang Wu, Pei‐Ling Chi, Kun Li et al.
7 citations
IEEE Transactions on Microwave Theory and Techniques
Radio Frequency Integrated Circuit Design
1.46
article

A 2–18-GHz Reconfigurable Low-Noise Amplifier With 2.45–3.4-dB NF in 65-nm CMOS

Tao Yang, Shuangyang Wu, Pei‐Ling Chi, Kun Li, Jianbin Liu
article en
7 citations

Abstract

An ultra-wideband (UWB) reconfigurable low-noise amplifier (LNA) is proposed using 65-nm CMOS technology in this article. It consists of a two-stage amplifier with a novel reconfigurable feedback network (RCFN) used at the first stage and a reconfigurable load network (RCLN) at the drain terminals of each stage. The RCFN is employed to significantly reduce the noise figure (NF) at high frequencies and enhance the overall noise performance of the wideband LNA, while the RCLN is utilized to improve the gain and ensure a well-maintained gain flatness. Meanwhile, the current-reuse technique is also introduced to achieve power reduction. With all these techniques, a reconfigurable LNA that can have UWB coverage is readily obtained with low NF, low power consumption, and excellent gain/noise flatness. To demonstrate the proposed techniques, an LNA prototype is designed, fabricated, and measured. The measurement results show that the operating frequency of LNA can cover from 2 to 18 GHz including a low band of 2–8 GHz and a high band of 8–18 GHz, while achieving a peak gain of 16.6 dB. The gain variation over the full bandwidth is within 2.2 dB while the measured NF ranges from 2.45 to 3.4 dB. Additionally, the measured input 1 dB compression point (IP1 dB) varies from −16 to −12.1 dBm. The proposed LNA operates at a power supply of 1.5 V with a power consumption of less than 12 mW. A good agreement between simulation and measurement is obtained.

IEEE Transactions on Microwave Theory and TechniquesVol. 73(3)
National Yang Ming Chiao Tung University (TW), University of Electronic Science and Technology of China (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 18%
Radio Frequency Integrated Circuit Design
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.