MURAL - Maynooth University Research Archive Library



    Extraction of small-signal model parameters of Si/SiGe heterojunction bipolar transistor using least squares support vector machines


    Taher, H. and Farrell, Ronan and Schreurs, D. and Nauwelaers, Bart (2015) Extraction of small-signal model parameters of Si/SiGe heterojunction bipolar transistor using least squares support vector machines. Electronics Letters, 51 (22). pp. 1821-1823. ISSN 0013-5194

    [img]
    Preview
    Download (255kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    A novel straightforward methodology for extracting bias-dependent small-signal equivalent circuit model parameters (SSECMPs) of silicon/silicon–germanium heterojunction bipolar transistors is presented. The inverse mapping between SSECMPs and scattering (S) parameters is established and fitted using simulated data of the SSECM. Since the problem has large input space, S-parameters at many frequency points, the least squares support vector machines concept is used as regression technique. Physical SSECMPs values are obtained using the proposed methodology. Moreover, an excellent agreement is noted between the S-parameters measurements and their simulated counterpart using the extracted SSECMPs in the frequency range from 40 MHz to 40 GHz at different bias conditions.

    Item Type: Article
    Additional Information: This research was supported by Science Foundation Ireland under grant no. 10/CE/I1853.
    Keywords: small-signal equivalent circuit model parameters; SSECMPs; silicon/silicon–germanium heterojunction bipolar transistors;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 9574
    Depositing User: Dr. Ronan Farrell
    Date Deposited: 20 Jun 2018 14:30
    Journal or Publication Title: Electronics Letters
    Publisher: IEEE
    Refereed: Yes
    Funders: Science Foundation Ireland (SFI)
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year