What This Document Is
These are course notes from ELENG 247A, Introduction to Microelectromechanical Systems (MEMS), offered at the University of California, Berkeley. Specifically, this installment focuses on Switched-Capacitor (SC) filters – a crucial component in many modern electronic systems. The notes represent a lecture’s worth of material, detailing the theory and considerations behind designing and analyzing these filters. It builds upon previous lectures covering continuous-time filters and introduces the unique characteristics of switched-capacitor implementations.
Why This Document Matters
This resource is ideal for students enrolled in an introductory MEMS course, or those studying analog circuit design. It’s particularly valuable when you need a focused explanation of SC filter principles, going beyond textbook definitions to explore practical aspects. These notes can serve as a strong supplement to lectures and assigned readings, aiding in comprehension and exam preparation. Engineers working with integrated circuit design, signal processing, or data converters will also find the concepts discussed here highly relevant.
Topics Covered
* Switched-Capacitor Network Noise Analysis
* Switched-Capacitor Integrator Topologies (DDI, LDI, Bottom-Plate)
* Resonator and Bandpass Filter Design with SC Circuits
* Lowpass Filter Implementation and Design Considerations
* Techniques for Addressing Non-Idealities in SC Filters
* The Impact of Sampling Rate and Aliasing on Filter Performance
* Comparison of Continuous-Time and Discrete-Time Analysis Approaches
* Periodic Noise Analysis techniques using SpectreRF
What This Document Provides
* A detailed exploration of noise characteristics within switched-capacitor networks.
* Insights into the fundamental building blocks of SC filters, including integrators.
* Discussion of key tradeoffs involved in SC filter design.
* An overview of techniques for mitigating the effects of parasitic capacitance.
* Conceptual understanding of sampled noise spectrum and its distortion.
* A bridge between continuous-time and discrete-time analysis methods for filter design.