This book discusses the design of switched-capacitor filters in deep-submicron CMOS technologies. The authors describe several topologies for switched-capacitor filter circuits that do not require high-gain high-bandwidth amplifiers. Readers will also learn two analysis methodologies that can be implemented efficiently in software and integrated into optimization environments for the automation of design for switched-capacitor filters. Although the optimization examples discussed utilize low gain amplifiers, the demonstrated methodologies can also be used for conventional, high-gain high-bandwidth amplifiers.

Enables design of switched-capacitor filters using low gain amplifiers to simplify implementation in advanced CMOS Demonstrates fast and accurate analysis methodologies for switched-capacitor filters Includes several analysis and optimization examples, validated through electrical simulations

Autorentext

Hugo Serra received the M.Sc. and Ph.D. degrees in electrical and computer engineering (ECE) from the Faculty of Sciences and Technology (FCT), NOVA University of Lisbon (NOVA), Portugal, in 2012 and 2017, respectively. He was a Researcher with the Centre for Technology and Systems (CTS) UNINOVA, from 2013 to 2018. Since January 2019, he has been a Researcher with the Radio Systems Group, Instituto de Telecomunicações (IT).

Rui Santos-Tavares graduated from Universidade Nova de Lisboa, Lisbon, Portugal, in 1998. He obtained the M.Sc. and the Ph.D. degrees from the Universidade Nova de Lisboa in 2001 and 2010, respectively. He has been with the Department of Electrical Engineering (DEE) of the Faculdade de Ciências e Tecnologia (FCT) of Universidade Nova de Lisboa (UNL), since September 1998, where he is currently Assistant Professor. Since 1998 he has been also working as a Researcher of the Centre for Technology and Systems (CTS) at UNINOVA. From 1998 until 2001 he worked as an Assistant Researcher of the Interoperability Supported by Standards group (GRIS) at UNINOVA, where he has actively participated in several National and joint European cooperative projects in science and technology (e.g., ESPRIT IV 22056-FunSTEP). Since 2001 he is with the Micro/Nanoelectronics Group from CTS/UNINOVA. His scientific interests are in the areas of electronic design automation of analog circuits and systems (EDA/CAD), the design of low-power and low-voltage analog integrated circuits. He has published papers in distinguished journals and international leading conferences and has been serving as a reviewer for many IEEE conferences.

Nuno Paulino graduated from Instituto Superior Técnico (IST), Lisbon, Portugal, in 1992. He received the M.Sc. degree from the Technical University of Lisbon, Portugal, in 1996 and the Ph.D. degree from the Universidade Nova de Lisboa, Portugal, in 2008. He has been with the Department of Electrical Engineering (DEE) of the Faculdade de Ciências e Tecnologia (FCT), Universidade Nova de Lisboa (UNL), since 1999. Since 1999 he has been also working as a Senior Researcher of the Centre of Technology and Systems at UNINOVA. In 2003 he cofounded ACACIA Semiconductor, a Portuguese engineering company specialized in high-performance data converter and analog front-end products, acquired by S3 in 2007. From 1996 to 1999 he worked as Analog Design Engineer at Rockwell Semiconductor, USA. His scientific interests are in the areas of the design of CMOS circuits for UWB sensing systems, analog and discrete time signal processing, data-converters, self-testing and self-calibrating techniques, switched-capacitor circuits for power converters and optimization tools for assisting the design of analog circuits.

Inhalt

Introduction.- Background on Switched-Capacitor Filters.- Design Techniques to Increase Performance of Switched-Capacitor Filters.- Computer Methods for the Analysis and Optimization of Switched-Capacitor Circuits.- Analysis Methodologies for the Design of Switched-Capacitor Filters.- Optimization Methodologies for the Design of Switched-Capacitor Filters.- Switched-Capacitor Filter Prototypes and Measurement Results.- Conclusion.