A Top-Down Optimization Methodology for SC Filter Circuit Design Using Varying Goal Specifications

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The design of Switched-Capacitor (SC) filters can be an arduous process, which becomes even more complex when the high gain amplifier is replaced by a low gain amplifier or a voltage follower. This eliminates the virtual ground node, requiring the compensation of the parasitic capacitances during the design phase. This paper proposes an automatic procedure for the design of SC filters using low gain amplifiers, based on a Genetic Algorithm (GA) using hybrid cost functions with varying goal specifications. The cost function first uses equations to estimate the filter transfer function, the gain and settling-time of the amplifier and the RC time constants of the switches. This reduces the computation time, thus allowing the use of large populations to cover the entire design space. Once all specifications are met, the GA uses transient electrical simulations of the circuit in the cost functions, resulting in the accurate determination of the filter’s transfer function and allowing the accurate compensation of the parasitic capacitances, obtaining the final design solution within a reasonable computation time.
Original languageEnglish
Title of host publicationTechnological Innovation for Collective Awareness Systems
Pages535-542
Volume423
ISBN (Electronic)978-3-642-54734-8
DOIs
Publication statusPublished - 2014
Event5th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2014 -
Duration: 1 Jan 2014 → …

Conference

Conference5th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2014
Period1/01/14 → …

Keywords

  • Computer-aided design
  • filter design
  • genetic algorithm
  • switchedcapacitor

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