An Ultra-wideband Low-power Low-noise Amplifier Linearized by Adjusted Derivative Superposition and Feedback Techniques

Keywords: Derivative superposition technique, Low-noise amplifier, Low-Power, Linearization

Abstract

Ultra-wideband (UWB) applications require low-power and low-noise amplifiers (LNAs) that can operate over a wide frequency range. However, conventional LNAs often suffer from poor linearity and high-power consumption. This research work proposes a novel LNA design that uses the adjusted derivative superposition (DS) technique and feedback to improve the linearity and reduce the power consumption of UWB LNAs. The DS technique enhances the third-order intermodulation (IM3) cancellation by adjusting the bias currents of the transistors, whereas the feedback improves the stability and input matching of the LNA. The LNA is implemented using a degenerated common source topology in a 180 nm standard CMOS technology. The simulation results show that the LNA achieves a power gain of 10–12.2 dB, an input third-order intercept point (IIP3) of about 12 dBm, and a noise figure of less than 2.5 dB over the UWB frequency band of 3.1–10.6 GHz. The input reflection coefficient is less than -10 dB, and the power consumption is 11.6 mW with a 1.5 V power supply. The designed LNA offers a novel and innovative solution for UWB applications that significantly improve the performance and efficiency of UWB LNAs whereas reducing the cost and complexity of implementation.

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Author Biographies

Mohsen Alirezapoori, Department of Electrical Engineering, Faculty of Engineering, Razi University, Kermanshah, I. R. of Iran

Mohsen Alirezapoori received the B.Sc. degree in Electronic Engineering from the Department of Electrical Engineering, Chamran University, Ahvaz, Iran in 2013 and the M.Sc. degree in Electronic Engineering from the Department of Electrical Engineering, Razi University, Kermanshah, Iran, 2017. His research interests include high frequency high-efficiency power amplifiers and oscillators, analog electronic circuit design and optimization, and integrated circuit design.

Mohsen Hayati, Department of Electrical Engineering, Faculty of Engineering, Razi University, Kermanshah, I. R. of Iran

Mohsen Hayati is a Professor with the Electrical Engineering Department, Faculty of Engineering, Razi University. Hereceived the B.E. degree in Electronics and Communication Engineering from Nagarjuna University, Andhra Pradesh, India, in 1985, and the M.E. and Ph.D. degrees in Electronics Engineering from Delhi University, Delhi, India, in 1987 and 1992, respectively. His current research interests include microwave and millimeter wave devices and circuits, power amplifiers, low noise amplifier design, analog CMOS circuit, application of computational intelligence, artificial neural networks, fuzzy systems, neuro-fuzzy systems, electronic circuit synthesis, modeling and simulations. He has published many papers in international, domestic journals, and conferences.

Mohammad A. Imani, Department of Electrical Engineering, Faculty of Engineering, Razi University, Kermanshah, I. R. of Iran

Mohammad A. Imani received the B.Sc. and the M.Sc. degrees in Electronic Engineering from the Department of Electrical Engineering, Razi University, Kermanshah, Iran, in 2013 and 2017, respectively. His research interests include high-frequency high-efficiency power amplifiers and oscillators, resonant dc/dc power converters, numerical simulation of switching circuits, analog and digital electronic circuit design and optimization, bio inspiredcomputing, neuromorphic, memristor, artificial neural networks, and integrated circuit design.

Farzin Shama, Department of Electrical Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, I. R. of Iran

Farzin Shama is an Assistant Professor at Kermanshah Branch, Islamic Azad University, Kermanshah, Iran. received the B.Sc. , M.Sc. and and Ph.D. degrees in Electronics from Razi University, Kermanshah, Iran in 2009, 2012 and 2016, respectively. His research interests include the artificial intelligent, complex circuits and systems solutions, Analog circuits and design, microwave engineering, and passive and active circuits design and fabrication. 

Pouria Almasi, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, I. R. of Iran

Pouria Almasi received the B.Sc. degree in Eectrical Engineering from Razi University, Kermanshah, Iran, in 2018.  He is currently pursuing his personal and favorite projects. His research interests include IC design, Neuromorphic, Domain Specific Hardware,Memristor, High frequencies devices and Digital system design.

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Published
2023-12-23
How to Cite
Alirezapoori, M., Hayati, M., Imani, M. A., Shama, F. and Almasi, P. (2023) “An Ultra-wideband Low-power Low-noise Amplifier Linearized by Adjusted Derivative Superposition and Feedback Techniques”, ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY, 11(2), pp. 201-209. doi: 10.14500/aro.11267.