• DocumentCode
    1452746
  • Title

    An Analytical Method to Determine Small-Signal Model Parameters for Vertical-Cavity Surface Emitting Lasers

  • Author

    Gao, Jianjun

  • Author_Institution
    Sch. of Inf. Sci. & Technol., East China Normal Univ., Shanghai, China
  • Volume
    28
  • Issue
    9
  • fYear
    2010
  • fDate
    5/1/2010 12:00:00 AM
  • Firstpage
    1332
  • Lastpage
    1337
  • Abstract
    A parameter-extraction approach for small-signal model of the vertical-cavity surface emitting lasers (VCSELs), which combines the analytical approach and empirical optimization procedure, is developed in this paper. The cutoff operation of the VCSELs is utilized to extract the values of the pad capacitances, feedline inductance by using a set of closed form expressions derived from cutoff mode input reflection coefficient on wafer measurement. A semianalytical method has been used to determine the extrinsic resistance, and intrinsic oxide aperture junction resistance and capacitance under above-threshold bias condition. An excellent fit between measured and simulated input reflection coefficients under cutoff and above-threshold biased condition in the frequency range of 50 MHz-20 GHz is obtained for VCSELs with different oxide-confined aperture size over a wide range of bias points.
  • Keywords
    capacitance measurement; electric resistance measurement; inductance measurement; laser cavity resonators; laser variables measurement; optical variables measurement; quantum well lasers; surface emitting lasers; VCSEL; cutoff operation; extrinsic resistance; feedline inductance; frequency 50 MHz to 20 GHz; intrinsic oxide aperture junction resistance; pad capacitances; parameter-extraction; simulated input reflection coefficients; small-signal model parameters; vertical-cavity surface emitting lasers; Device modeling; parameter extraction; small- signal model; vertical-cavity surface emitting laser (VCSEL);
  • fLanguage
    English
  • Journal_Title
    Lightwave Technology, Journal of
  • Publisher
    ieee
  • ISSN
    0733-8724
  • Type

    jour

  • DOI
    10.1109/JLT.2010.2044744
  • Filename
    5438784