In this paper, the optimization of matching loads for lossy transmission lines is carried out by means of a suitable optimization strategy. Starting from a ladder network, which approximates the characteristic impedance of a given lossy transmission line with a limited number of lumped elements, the problem solution is obtained by minimizing a suitable cost function through an innovative particle-swarm-based method. The effectiveness of the synthesis approach is assessed in the case of a three-section ladder network through selected comparisons with experimentally measured data.

Particle-swarm-optimizer-based Optimization of Matching Loads for Lossy Transmission Lines

Azaro, Renzo;De Natale, Francesco;Donelli, Massimo;Massa, Andrea
2006-01-01

Abstract

In this paper, the optimization of matching loads for lossy transmission lines is carried out by means of a suitable optimization strategy. Starting from a ladder network, which approximates the characteristic impedance of a given lossy transmission line with a limited number of lumped elements, the problem solution is obtained by minimizing a suitable cost function through an innovative particle-swarm-based method. The effectiveness of the synthesis approach is assessed in the case of a three-section ladder network through selected comparisons with experimentally measured data.
2006
8
Azaro, Renzo; De Natale, Francesco; Donelli, Massimo; Massa, Andrea
File in questo prodotto:
File Dimensione Formato  
R107.pdf

Solo gestori archivio

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 297.56 kB
Formato Adobe PDF
297.56 kB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/71878
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 14
  • ???jsp.display-item.citation.isi??? 13
  • OpenAlex ND
social impact