Skip to main content
Article thumbnail
Location of Repository

Metoda unesenoga gubitka i optimizacijski algoritam roja čestica u dizajniranju filtra

By Ante Konjuh, Nikša Burum and Ivan Vilović

Abstract

A filter design using insertion loss method (ILM) and Particle Swarm Optimization algorithm (PSO) is presented in the paper. ILM is generally a preferred technique for the filter design with an arbitrary number of elements. This method can be used to create the filter which has different types of frequency responses. However, this procedure is not practical for a large number of elements. PSO algorithm can be a useful procedure for calculating values in filters with a large number of elements. This paper presents the procedure which takes an advantage of ILM for filter design and PSO for determination an unknown component values in filters with large number of elements. This is suitable approach for filter design with an arbitrary cutoff frequency and shape of pass band.U radu je prezentiran dizajn filtra s pomoću metode unesenoga gubitka i optimizacijskog algoritma roja čestica. Metoda unesenoga gubitka je česta tehnika za dizajniranje filtra s neodređenim brojem elemenata. Ova se metoda može primijeniti za kreiranje filtra s različitim vrstama frekvencijskih odziva. Unatoč tomu, ova procedura nije pogodna pri velikom broju elemenata. Ovdje je prezentirana unaprijeđena procedura dizajniranja filtra u usporedbi s klasičnom metodom unesenoga gubitka, za utvrđivanje nepoznate vrijednosti u filtrima s velikim brojem elemenata upotrijebljen je algoritam roja čestica. To je pogodno za dizajniranje filtra bilo koje granične frekvencije i pojasa propuštanja

Topics: filters; insertion loss method; particle swarm optimization, filtri; metoda unesenoga gubitka; optimizacija s pomoću metode roja čestica
Publisher: University of Dubrovnik
Year: 2010
OAI identifier: oai:hrcak.srce.hr:53562

Suggested articles


To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.