A Cascode-Feedback Wideband Low Noise Amplifier in 180nm CMOS using a Compound Sziklai Pair

Conventional Darlington CMOS LNAs suffer from low transconductance, degraded noise figure due to parasitic inductors and limited high-frequency gain. This paper proposes a compound Sziklai pair‑based low‑noise amplifier (LNA) employing a cascode feedback technique for ultra-wideband and lower millimetre-wave applications. The design replaces inductive feedback with resistive feedback to minimise parasitic loss, reduce chip area and improve stability, while the Sziklai pair enhances high-frequency performance, reduces base-emitter voltage and improves linearity over the Darlington LNAs. Cascode feedback structure combined with compound Sziklai pair further improves noise performance. A VRef impedance tuning circuit (ITC) with tuning resistor and tuning inductor is used to optimise the LNA parameters. Active bias provides appropriate DC bias to the transistors, which strengthens current feedback and mitigates narrowband limitations. Implemented in 180 nm CMOS, the design achieves a peak voltage gain of 19.51 dB, a bandwidth of 36.42 GHz, a noise figure of 0.343 dB and power consumption of 49.28 µW only. Compared with recent state-of-the-art CMOS LNAs, the proposed design achieves significantly lower noise figure and power consumption while preserving gain and bandwidth. To the best of our knowledge, no prior CMOS Sziklai pair‑based LNA design is reported with inductorless resistive feedback cascode topology for UWB and lower mmWave RF front-end applications.

Authors

Institutions

Publication Details

Journal
International Journal of Electronics
Published
2026-11-06
DOI
https://doi.org/10.1080/00207217.2026.2759344
Primary Topic
Radio Frequency Integrated Circuit Design
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

A Cascode-Feedback Wideband Low Noise Amplifier in 180nm CMOS using a Compound Sziklai Pair

Syed Shamroz Arshad, Sachchidanand Shukla, Geetika Srivastava
1 links
International Journal of Electronics
Radio Frequency Integrated Circuit Design
article

A Cascode-Feedback Wideband Low Noise Amplifier in 180nm CMOS using a Compound Sziklai Pair

Syed Shamroz Arshad, Sachchidanand Shukla, Geetika Srivastava
article en

Abstract

Conventional Darlington CMOS LNAs suffer from low transconductance, degraded noise figure due to parasitic inductors and limited high-frequency gain. This paper proposes a compound Sziklai pair‑based low‑noise amplifier (LNA) employing a cascode feedback technique for ultra-wideband and lower millimetre-wave applications. The design replaces inductive feedback with resistive feedback to minimise parasitic loss, reduce chip area and improve stability, while the Sziklai pair enhances high-frequency performance, reduces base-emitter voltage and improves linearity over the Darlington LNAs. Cascode feedback structure combined with compound Sziklai pair further improves noise performance. A VRef impedance tuning circuit (ITC) with tuning resistor and tuning inductor is used to optimise the LNA parameters. Active bias provides appropriate DC bias to the transistors, which strengthens current feedback and mitigates narrowband limitations. Implemented in 180 nm CMOS, the design achieves a peak voltage gain of 19.51 dB, a bandwidth of 36.42 GHz, a noise figure of 0.343 dB and power consumption of 49.28 µW only. Compared with recent state-of-the-art CMOS LNAs, the proposed design achieves significantly lower noise figure and power consumption while preserving gain and bandwidth. To the best of our knowledge, no prior CMOS Sziklai pair‑based LNA design is reported with inductorless resistive feedback cascode topology for UWB and lower mmWave RF front-end applications.

International Journal of Electronics
Dr. Ram Manohar Lohia Avadh University (IN)
Openalex Percentile: Top 26%
Radio Frequency Integrated Circuit Design
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.

Laika access coming soon