• DocumentCode
    951773
  • Title

    An improved parameter extraction method of SiGe HBTs´ substrate network

  • Author

    Chen, Han-Yu ; Chen, Kun-Ming ; Huang, Guo-Wei ; Chang, Chun-Yen

  • Author_Institution
    Dept. of Electron. Eng. & Inst. of Electron., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • Volume
    16
  • Issue
    6
  • fYear
    2006
  • fDate
    6/1/2006 12:00:00 AM
  • Firstpage
    321
  • Lastpage
    323
  • Abstract
    In this letter, an improved method for substrate network parameter extraction of SiGe heterojunction bipolar transistors (HBTs) is proposed. It is found that, without taking the intrinsic circuit elements into consideration, the conductance of substrate network will be underestimated while the susceptance of substrate network will be overestimated. Therefore, an iteration procedure is developed to determine the intrinsic circuit elements of SiGe HBTs first. The intrinsic circuit elements are then applied to remove their influence on the substrate network parameter extraction. Compared with the conventional method, the proposed one can avoid some unphysical modeling results and provide reliable substrate network parameters.
  • Keywords
    Ge-Si alloys; heterojunction bipolar transistors; integrated circuit reliability; iterative methods; network parameters; substrates; HBT substrate network; SiGe; SiGe heterojunction bipolar transistors; improved parameter extraction; intrinsic circuit elements; iteration procedure; reliability; substrate network conductance; substrate network parameter; Dielectric substrates; Equivalent circuits; Germanium silicon alloys; Heterojunction bipolar transistors; Integrated circuit reliability; Parameter extraction; Parasitic capacitance; Radio frequency; Silicon devices; Silicon germanium; SiGe HBTs; substrate network parameter extraction;
  • fLanguage
    English
  • Journal_Title
    Microwave and Wireless Components Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1531-1309
  • Type

    jour

  • DOI
    10.1109/LMWC.2006.875630
  • Filename
    1637482