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Design of waveguide microwave filters by means of artificial neural networks
Author(s) -
Luchetta Antonio,
Manetti Stefano,
Pellegrini Luca,
Pelosi Giuseppe,
Selleri Stefano
Publication year - 2006
Publication title -
international journal of rf and microwave computer‐aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 39
eISSN - 1099-047X
pISSN - 1096-4290
DOI - 10.1002/mmce.20175
Subject(s) - artificial neural network , microwave , waveguide , antenna (radio) , component (thermodynamics) , computer science , waveguide filter , electronic engineering , engineering , filter (signal processing) , artificial intelligence , telecommunications , electrical engineering , prototype filter , optics , physics , filter design , thermodynamics
Cylindrical post‐based waveguide filters are a relevant component of antenna feeding networks. Their synthesis performed via automatic optimization based on full‐wave analyses can be very time consuming. In this article a novel fast‐design approach based on Levy's and Moore's algorithms and an artificial neural network (ANN) architecture is presented. © 2006 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2006.