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https://hdl.handle.net/2142/129644
Description
Title
Methodology of amplifier design
Author(s)
Li, Ye
Issue Date
2025-05-09
Director of Research (if dissertation) or Advisor (if thesis)
Hanumolu, Pavan Kumar
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Methodology
Amplifier
Python
Matlab
Auto-design
Cadence
Verification.
Language
eng
Abstract
Amplifier design frequently involves reusing familiar design models and basic structures. To streamline this process and improve design precision, a Python-based amplifier system was developed in this project. The system generates amplifier parameters based on user-defined input specifications, utilizing a database of amplifier properties initially constructed in MATLAB to efficiently select appropriate design candidates. After obtaining results from the Python system, each design’s performance was validated through Cadence simulations. Using this methodology, several amplifier types were successfully designed, including the common-source amplifier, 5-transistor operational transconductance amplifier (OTA), telescopic OTA, gain-boosted OTA, NMOS and PMOS folded-cascode amplifiers, and low-dropout (LDO) regulators. For each design, worst-case operating scenarios were carefully considered prior to finalization. A design was only saved into the system database if it met all specified performance requirements in both Python-based prediction and Cadence verification. This Python-based design tool significantly accelerated the amplifier development process and enabled more consistent and accurate outcomes across different architectures. Future work will focus on expanding the database and improving system efficiency, with the long-term goal of developing a comprehensive "Amplifier GPT" platform capable of autonomously generating a wide variety of high-quality amplifier designs.
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