• DocumentCode
    895798
  • Title

    Novel shooting algorithm for highly efficient analysis of fiber Raman amplifiers

  • Author

    Han, Qun ; Ning, Jiping ; Zhang, Huayong ; Chen, Zhiqiang

  • Author_Institution
    Coll. of Precision Instrum. & Optoelectron. Eng., Tianjin Univ., China
  • Volume
    24
  • Issue
    4
  • fYear
    2006
  • fDate
    4/1/2006 12:00:00 AM
  • Firstpage
    1946
  • Lastpage
    1952
  • Abstract
    An efficient and stable algorithm based on the simple-shooting method to solve the fiber Raman-amplifier (FRA) equations is proposed and numerically demonstrated. In the algorithm, the conventional Newton-Raphson method is substituted by a more efficient and stable modified Newton method to serve as the correction mechanism in the shooting iterations. By introducing the Broyden´s rank-one method into the modified Newton method, the time-consuming calculation of the Jacobian matrix is dramatically relieved, and the efficiency of the proposed algorithm is further remarkably improved. An effective initial-guess-providing technique for the shooting method has also been proposed. Simulation results show that the efficiency of the proposed algorithm is improved more than three times compared with those of the previously reported methods. This algorithm can be used in the design of various kinds of FRAs to predict their gain and noise performance accurately.
  • Keywords
    Newton method; Raman lasers; initial value problems; optical fibre amplifiers; Broyden rank-one method; Jacobian matrix; fiber Raman amplifiers; initial-guess-providing technique; modified Newton method; shooting iterations; Algorithm design and analysis; Equations; Jacobian matrices; Newton method; Optical fiber amplifiers; Optical fiber communication; Raman scattering; Stability; Stimulated emission; US Department of Transportation; Boundary-value problems; Raman scattering; fiber Raman amplifier (FRA); modeling;
  • fLanguage
    English
  • Journal_Title
    Lightwave Technology, Journal of
  • Publisher
    ieee
  • ISSN
    0733-8724
  • Type

    jour

  • DOI
    10.1109/JLT.2006.871008
  • Filename
    1618786