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Quantifying Measurement Uncertainty of Microwave Amplifiers with Very Low Noise Figures Designed by Multi-Objective Optimization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00358280" target="_blank" >RIV/68407700:21230/22:00358280 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/ICEIC54506.2022.9748767" target="_blank" >http://dx.doi.org/10.1109/ICEIC54506.2022.9748767</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICEIC54506.2022.9748767" target="_blank" >10.1109/ICEIC54506.2022.9748767</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Quantifying Measurement Uncertainty of Microwave Amplifiers with Very Low Noise Figures Designed by Multi-Objective Optimization

  • Original language description

    Best properties of low noise amplifiers in RF design can only be achieved by the multi-objective optimization, which enables a compromise between the transducer power gain and noise figure in some shape of Pareto front. However, as the final circuit constructed in this way is not fully matched at the output, measuring the amplifier - unmatched neither to transducer power gain nor to noise figure - is quite complicated, especially in the case of the very low noise figures. Although we have recently suggested a measurement method for such circuits, it can be principally affected by the tolerances of the equipment. In this paper, we propose quite accurate estimation of these tolerances.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    <a href="/en/project/GA20-26849S" target="_blank" >GA20-26849S: New algorithms for accurate, efficient and robust analysis of large-scale systems</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    International Conference on Electronics, Information, and Communication 2022

  • ISBN

    978-1-6654-0934-6

  • ISSN

  • e-ISSN

    2767-7699

  • Number of pages

    4

  • Pages from-to

    597-600

  • Publisher name

    IEEE

  • Place of publication

    Piscataway (New Jersey)

  • Event location

    Jeju

  • Event date

    Feb 6, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000942023400129