Optimal characterization of a microwave transistor using grey wolf algorithms

dc.authoridFarzad Kiani / 0000-0002-0354-9344
dc.authorscopusidFarzad Kiani / 36662461100
dc.authorwosidFarzad Kiani / O-3363-2013
dc.contributor.authorKiani, Farzad
dc.contributor.authorSeyyedabbasi, Amir
dc.contributor.authorMahouti, Peyman
dc.date.accessioned2021-07-28T05:27:19Z
dc.date.available2021-07-28T05:27:19Z
dc.date.issued2021en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümüen_US
dc.description.abstractModern time microwave stages require low power consumption, low size, low-noise amplifier (LNA) designs with high-performance measures. These demands need a single transistor LNA design, which is a challenging multi-objective, multi-dimensional optimization problem that requires solving objectives with non-linear feasible design target space, that can only be achieved by optimally selecting the source (Z(S)) and load (Z(L)) terminations. Meta-heuristic algorithms (MHAs) have been extensively used as a search and optimization method in many problems in the field of science, commerce, and engineering. Since feasible design target space (FDTS) of an LNA transistor (NE3511S02 biased at VDS = 2 V and IDS = 7 mA) is a multi-objective multi-variable optimization problem the MHA can be considered as a suitable choice. Three different types of grey wolf variants inspired algorithms had been applied to the LNA FDTS problem to obtain the optimal source and load terminations that satisfies the required performance measures of the aimed LNA design. Furthermore, the obtained results are justified via the use of the Electromagnetic Simulator tool AWR. As a result, an efficient optimization method for optimal determination of Z(S) and Z(L) terminations of a high-performance LNA design had been achieved.en_US
dc.identifier.citationKiani, F., Seyyedabbasi, A., & Mahouti, P. (2021). Optimal characterization of a microwave transistor using grey wolf algorithms. Analog Integrated Circuits and Signal Processing, 1-11.en_US
dc.identifier.doi10.1007/s10470-021-01914-yen_US
dc.identifier.issn0925-1030en_US
dc.identifier.issn1573-1979en_US
dc.identifier.scopus2-s2.0-85110780104en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.urihttps://doi.org/10.1007/s10470-021-01914-y
dc.identifier.urihttps://hdl.handle.net/20.500.12713/1949
dc.identifier.wosWOS:000672272500002en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorKiani, Farzad
dc.language.isoenen_US
dc.publisherSPRINGERen_US
dc.relation.ispartofANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSINGen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMeta-Heuristic Algorithmen_US
dc.subjectGrey Wolfen_US
dc.subjectLow Noise Amplifieren_US
dc.subjectMulti-Objective Optimizationen_US
dc.titleOptimal characterization of a microwave transistor using grey wolf algorithmsen_US
dc.typeArticleen_US

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