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    Details
    Poster
    Author(s)
    Display Name
    Ademola Mustapha
    Affiliation
    Affiliation
    Khalifa University
    Display Name
    Sagiru Gaya
    Affiliation
    Affiliation
    Khalifa University of Science and Technology
    Display Name
    Baker Mohammad
    Affiliation
    Affiliation
    Best University in Abu Dhabi
    Affiliation
    Affiliation
    Khalifa University of Science and Technology
    Abstract

    This paper presents two cascode LNA with capacitive drain-to-source feedback in 22nm FDSOI process technology. The input is noise matched for low noise figure while the drain to source capacitive feedback improves the input conjugate matching without degrading the noise figure. A gain of 22dB with a 3dB bandwidth from 20 – 30 GHz is achieved with the first design. The second design achieved a gain of 27dB with 3dB bandwidth from 18 – 25 GHz. The noise figure of both designs is less than 3.4dB. Both designs consume less than 39mW of power from a 1V power supply.