Performance optimization methods for switched-capacitor biquadratic filters

A class of computer-aided optimization methods based on Differential Evolution (DE), Particle Swarm Optimization (PSO) and Nelder Mead algorithms applied to a switched-capacitor (SC) filter circuit design are investigated. Comparisons of these algorithms applied to a 4th order biquadratic two-channe...

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Bibliographic Details
Published inJournal of Electrical Engineering Vol. 69; no. 5; pp. 345 - 351
Main Authors Nahlik, Jiri, Hospodka, Jiri, Sovka, Pavel, Mullane, Brendan, Subrt, Ondrej
Format Journal Article
LanguageEnglish
Published Bratislava Sciendo 01.09.2018
De Gruyter Poland
Subjects
Algorithms
Capacitors
Circuit design
Circuits
Design
Evolutionary computation
filter
Filter banks
Mathematical functions
Methods
optimization
Optimization algorithms
Particle swarm optimization
Population
PSO
Reliability analysis
SC circuit
simplex
Simulation
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Summary:A class of computer-aided optimization methods based on Differential Evolution (DE), Particle Swarm Optimization (PSO) and Nelder Mead algorithms applied to a switched-capacitor (SC) filter circuit design are investigated. Comparisons of these algorithms applied to a 4th order biquadratic two-channel filter bank CMOS design on 0.35 m technology are made. The frequency responses of the biquadratic filters must match ideal responses in a finite number of iterations with a limited number of “particles”. The original and derived methods are evaluated on the base of their convergence progress and their reliability over different starting populations. An optimal design approach based on combining algorithms is derived as a more suitable and more reliable method for SC circuit optimization.
ISSN:1339-309X
1335-3632
1339-309X
DOI:10.2478/jee-2018-0050