IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v79y2008i4p1165-1177.html
   My bibliography  Save this article

Design optimization of a current mirror amplifier integrated circuit using a computational statistics technique

Author

Listed:
  • Li, Yiming
  • Li, Yih-Lang
  • Yu, Shao-Ming

Abstract

In this work, we implement a computational statistics technique for design optimization of integrated circuits (ICs). Integration of a well-known circuit simulation software and central composite design method enables us to construct a second-order response surface model (RSM) for each concerned constraint. After construction of RSMs, we verify the adequacy and accuracy using the normal residual plots and their residual of squares. The constructed models are further employed for design optimization of current mirror amplifier ICs with 0.18μm CMOS devices. By considering the voltage gain, cut-off frequency, phase margin, common-mode rejection ratio and slew-rate, six designing parameters including the width and length of different transistors are selected and optimized to fit the targets.

Suggested Citation

  • Li, Yiming & Li, Yih-Lang & Yu, Shao-Ming, 2008. "Design optimization of a current mirror amplifier integrated circuit using a computational statistics technique," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(4), pages 1165-1177.
    • Handle: RePEc:eee:matcom:v:79:y:2008:i:4:p:1165-1177
    DOI: 10.1016/j.matcom.2007.11.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475407003138
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.matcom.2007.11.002?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Salameh, F. & Picot, A. & Chabert, M. & Maussion, P., 2017. "Regression methods for improved lifespan modeling of low voltage machine insulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 131(C), pages 200-216.

    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:eee:matcom:v:79:y:2008:i:4:p:1165-1177. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    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.