Skoči na glavni sadržaj

Izvorni znanstveni članak

INSERTION LOSS METHOD AND PARTICLE SWARM OPTIMIZATION ALGORITHM IN FILTER DESIGN

Ante Konjuh ; Maritime and technical school, Dubrovnik, Croatia
Nikša Burum ; Department of electrical engineering and computing
Ivan Vilović ; Department of electrical engineering and computing


Puni tekst: engleski pdf 231 Kb

str. 56-61

preuzimanja: 453

citiraj


Sažetak

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.

Ključne riječi

filters, insertion loss method, particle swarm optimization

Hrčak ID:

53562

URI

https://hrcak.srce.hr/53562

Podaci na drugim jezicima: hrvatski

Posjeta: 995 *