Design and Analysis of Low Noise Amplifiers in Ngspice with a Perspective on Machine Learning Approaches
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Design and Analysis of Low Noise Amplifiers in Ngspice with a Perspective on Machine Learning Approaches

Abstract

The primary objective of this thesis is to explore the design and simulation of Low NoiseAmplifiers using Ngspice. Additionally, it delves into a machine learning approach aimed at learning design based on threshold specifications, with Ngspice serving as the simulation engine. Chapter 1 introduces the background and underscores the significance of the research. Chapter 2 delves into Ngspice, highlighting its applications in analog and RF design. Chapter 3 is dedicated to the design and simulation of a Low-Noise Amplifier (LNA) utilizing Ngspice. Chapter 4 revisits our prior work titled ”Learning to Design Analog Circuits to Meet Threshold Specifications”, placing special emphasis on the LNA circuit incorporated within.

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