IDEAS home Printed from https://ideas.repec.org/a/hin/jnljam/374325.html
   My bibliography  Save this article

An UWB LNA Design with PSO Using Support Vector Microstrip Line Model

Author

Listed:
  • Salih Demirel
  • Filiz Gunes
  • A. Kenan Keskin

Abstract

A rigorous and novel design procedure is constituted for an ultra-wideband (UWB) low noise amplifier (LNA) by exploiting the 3D electromagnetic simulator based support vector regression machine (SVRM) microstrip line model. First of all, in order to design input and output matching circuits (IMC-OMC), source and load termination impedance of matching circuit, which are necessary to obtain required input VSWR ( ), noise ( ), and gain ( ), are determined using performance characterisation of employed transistor, NE3512S02, between 3 and 8 GHz frequencies. After the determination of the termination impedance, to provide this impedance with IMC and OMC, dimensions of microstrip lines are obtained with simple, derivative-free, easily implemented algorithm Particle Swarm Optimization (PSO). In the optimization of matching circuits, highly accurate and fast SVRM model of microstrip line is used instead of analytical formulations. ADCH-80a is used to provide ultra-wideband RF choking in DC bias. During the design process, it is aimed that = 1.85, = , and = all over operating frequency band. Measurements taken from the realized LNA demonstrate the success of this approximation over the band.

Suggested Citation

  • Salih Demirel & Filiz Gunes & A. Kenan Keskin, 2015. "An UWB LNA Design with PSO Using Support Vector Microstrip Line Model," Journal of Applied Mathematics, Hindawi, vol. 2015, pages 1-10, October.
    • Handle: RePEc:hin:jnljam:374325
    DOI: 10.1155/2015/374325
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/JAM/2015/374325.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/JAM/2015/374325.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2015/374325?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnljam:374325. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.