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Memetic optimization algorithm applied to design microwave amplifier for the specific gain value constrained by the minimum noise over the available bandwidth
Author(s) -
Cengiz Yavuz,
Kiliç Ulaş
Publication year - 2010
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.20460
Subject(s) - microwave , standing wave ratio , noise figure , electronic engineering , bandwidth (computing) , memetic algorithm , fuzzy logic , low noise amplifier , amplifier , genetic algorithm , computer science , microstrip , engineering , electrical engineering , telecommunications , microstrip antenna , artificial intelligence , antenna (radio) , machine learning
In this work, the neural performance and fuzzy logic data sheets of the transistor are used to determine the feasible design target space in the optimization of a microwave amplifier. The compatible (Noise F , Input VSWR V i , Gain G T ) triplets and their ( Z S , Z L ) terminations of a microwave transistor are exploited for an amplifier design with the minimum noise F min ( f ), required gain G Treq ( f ), and a low input VSWR V i over the available bandwidth. The multi‐objective design procedure is obtained from Z S ( f ), Z L ( f ) terminations with the unit‐elements and short‐circuited stubs in the L+L configurations and memetic optimization algorithm is successfully implemented as an optimization tool. A typical design example is given with its challenging performance in the simple L+L configurations realizable by the microstrip line technology. © 2010 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2010.