Paper Info
Title
Pareto Optimal Characterization of a Microwave Transistor.
Abstract
Herein, noise, gain and port mismatchings of a microwave small-signal transistor are expressed as all the set of acceptable Pareto optimal solutions and trade-off relations within the device operation (VDS, IDS, f) domain without any need of expert knowledge of microwave device. In this multi-objective optimization problem, non-dominated sorting genetic algorithm (NSGA) -III is applied to an ultra-low noise amplier (LNA) transistor NE3511S02 (HJ-FET) where the noise Freq >= Fmin and output mismatching Voutreq >= 1 are preferred as the reference points, while the input mismatching Vinopt >= 1 and gain GTmax are optimized with respect to source ZS and load ZL within the unconditionally stable working area. Thus, diverse set of the Pareto optimal (the required noise Freq, the optimum input Vinopt, the required output Voutreq, the maximum transducer gain GTmax) quadruples are resulted from a fast search of the solution space. Furthermore, the optimum bias condition (VDS, IDS) and sensitivities of the terminations to fabrication tolerances are also determined using the cost analysis in the operation domain for the required Pmax, IDSmax and performance quadruple. Finally, this work is expected to enable a designer to provide the feasible design target space (FDTS) consisting of all trade-off relations among all the transistor's performance ingredients to be used in the challenging LNA designs.
Year
DOI
Venue
2020
10.1109/ACCESS.2020.2978415
IEEE ACCESS
Keywords
DocType
Volume
Pareto optimization,Transistors,Microwave transistors,Genetic algorithms,Performance evaluation,Microwave amplifiers,Non-dominated sorting genetic algorithm,Pareto optimal solutions,optimization,impedance mismatching,transducer gain,noise figure
Journal
8
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Filiz Güneş1105.74
Ahmet Uluslu200.34
peyman mahouti311.39