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Competitive evolutionary algorithms for building performance database of a microwave transistor
Author(s) -
Güneş Filiz,
Belen Mehmet A.,
Mahouti Peyman
Publication year - 2018
Publication title -
international journal of circuit theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.364
H-Index - 52
eISSN - 1097-007X
pISSN - 0098-9886
DOI - 10.1002/cta.2386
Subject(s) - cuckoo search , transistor , noise (video) , differential evolution , amplifier , evolutionary algorithm , computer science , algorithm , electronic engineering , mathematics , electrical engineering , engineering , artificial intelligence , cmos , voltage , particle swarm optimization , image (mathematics)
Summary In this work, the simultaneous trade‐off relations among the noise figure F , gain G T , input V in , and output V out VSWRs of a microwave transistor operated at a certain ( V DS , I DS , f ) condition are obtained fast and as accurate as the corresponding analytical results using multiobjective optimization process without any need for expertise on the microwave device, circuit, and noise. Three powerful evolutionary algorithms, cuckoo search, firefly, and differential evolution, are implemented comparatively as a study case to obtain the trade‐off relations of a typical low‐noise amplifier transistor NE3511S02 for its operation between 9 and 17 GHz at V DS = 2 V and I DS = 10 mA. Finally, differential evolution is found as the most successful algorithm to demonstrate the typical trade‐off relations of NE3511S02. It can be concluded that these trade‐off relations being obtained by using a signal and noise model of the transistor enable performance database covering all the (F ≥ F min , G T , V in ≥ 1, V out ≥ 1) quadruples with their (Z S , Z L ) termination pairs using solely an evolutionary optimization process. Thus, a small signal transistor can be identified by its performance database to be used in the design optimization of high‐performance low‐noise amplifiers with the full device capacity.