Performance optimization methods for switched-capacitor biquadratic filters

Jiri Nahlik; Jiri Hospodka; Pavel Sovka; Brendan Mullane; Ondrej Subrt

doi:10.2478/jee-2018-0050

Abstract

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 µm 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.

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Performance optimization methods for switched-capacitor biquadratic filters

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