Original scientific paper
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
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.
Keywords
filters; insertion loss method; particle swarm optimization
Hrčak ID:
53562
URI
Publication date:
10.6.2010.
Visits: 1.303 *