• DocumentCode
    1646646
  • Title

    InGaP-GaAs HBT Statistical Modeling for RF Power Amplifier Designs

  • Author

    Hu, J. ; Zampardi, P. ; Shao, H. ; Kwok, K. ; Cismaru, C.

  • Author_Institution
    Skyworks Solutions, Inc., Newbury Park, CA
  • fYear
    2006
  • Firstpage
    219
  • Lastpage
    222
  • Abstract
    A simple statistical modeling methodology is presented for InGaP-GaAs HBTs devices and RF power amplifier circuits. The modeling approach utilizes in-line electrical parameter control data and DOE method to establish relationships between important material and model parameters. The key considerations of parameter selection are given and essential connections from device physics to model parameters are described. This statistical model allows designs that are robust to process variations and provide circuit designers with a method to de-bug design issues that can result from device variations. The authors show the background that supports this approach and demonstrate its application at both a device and circuit level
  • Keywords
    III-V semiconductors; gallium arsenide; heterojunction bipolar transistors; indium compounds; power amplifiers; radiofrequency amplifiers; radiofrequency integrated circuits; statistical analysis; DOE method; HBT devices; HBT statistical modeling; InGaP-GaAs; RF power amplifier circuits; de-bug design; electrical parameter control data; parameter selection; Circuit simulation; Design methodology; Heterojunction bipolar transistors; Physics; Power amplifiers; Process control; Radio frequency; Radiofrequency amplifiers; Semiconductor device modeling; US Department of Energy; DOE; GaAs; HBTs; InGaP; power amplifiers; statistical modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Compound Semiconductor Integrated Circuit Symposium, 2006. CSIC 2006. IEEE
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    1-4244-0126-7
  • Electronic_ISBN
    1-4244-0127-5
  • Type

    conf

  • DOI
    10.1109/CSICS.2006.319938
  • Filename
    4110024