Continuous time filter design automation
Master projects/internships - Leuven | More than two weeks ago
Project Introduction
In any Analog Front End (AFE), the filter is one of the key components for optimizing system performance. It not only improves the signal-to-noise ratio (SNR) by removing out-of-band noise but can also mitigate perturbations, such as adjacent carriers, in certain cases.
Practically, filter design specifications include parameters such as out-of-band rejection, phase distortion/in-band group delay, in-band distortion, and more. Based on these requirements, designers must select the optimal transfer function and the most suitable implementation approach (e.g., gm-C, OpAmp-based).
In this Master Thesis/Internship, the student will develop a Python code to generate semi-automated design of continuous filters, starting from high-level specifications.
Main Tasks
Developing a Python code:
- Transfer function selection
- LC circuit equivalent
- gmC circuit equivalent
- second order active filter equivalent
- AC and noise simulation (Modified Nodal Analysis)
- Filter optimization (noise, power, area)
Type of project: Thesis
Duration: 6 months
Required degree: Master of Engineering Technology
Required background: Electrotechnics/Electrical Engineering
Supervising scientist(s): For further information or for application, please contact: Laurent Berti (Laurent.Berti@imec.be)