Study & simulation of fiber nonlinearities using adaptive step size method

被引:1
|
作者
Iqbal, Muddassir [1 ]
Zheng, Z. [1 ]
Rehman, Inam [2 ]
Iqbal, Mubashir [2 ]
机构
[1] Beihang Univ, Sch Elect & Informat Engn, Beijing, Peoples R China
[2] Natl Engn & Sci Commiss, Islamabad, Pakistan
关键词
non-linear Schrodinger equation (NLSE); symmetrized split step Fourier inethod (SSSFM); pulse broadening ratio; non-linear phase rotation;
D O I
10.1109/ICET.2006.335965
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
An intense optical pulse while propagating in a fiber undergoes dispersive and nonlinear change of phase rotation. It is the SPM (single pulse propagation) and XPM effects due to some uncontrolled bire-fringence of the fiber. While this effect can be disturbing, it is also utilized for passive mode-locking of fiber lasers. Simulation of pulse propagation in fiber optics is carried out by solving nonlinear Schrodinger equation. Both dispersive and nonlinear effects have been catered. In order to get accurate results in a cost effective manner adaptive step size algorithm has been adopted. The results are checked and found in coherence with conventional numerical algorithm.
引用
收藏
页码:64 / +
页数:2
相关论文
共 50 条
  • [31] The hybrid method for determining an adaptive step size of the unknown system identification using Genetic Algorithm and LMS algorithm
    Kim, H
    Lee, T
    Kim, D
    Jung, D
    ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING: COMPUTATIONAL INTELLIGENCE FOR THE E-AGE, 2002, : 814 - 818
  • [32] A variable step size adaptive LMS filter using fuzzy logic
    Leong, S
    Younan, NH
    INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL I AND II, 1999, : 676 - 681
  • [33] Novel Exon Predictors Using Variable Step Size Adaptive Algorithms
    Putluri, Srinivasareddy
    Rahman, Md Zia Ur
    INNOVATIVE DATA COMMUNICATION TECHNOLOGIES AND APPLICATION, 2020, 46 : 750 - 759
  • [34] Recommendation Method of Ore Blending Based on Thermodynamic Principle and Adaptive Step Size
    Wang, Huan
    Shen, Bingyang
    Gao, Yuxing
    Cao, Yuning
    Ban, Xiaojuan
    THEORETICAL COMPUTER SCIENCE, NCTCS 2017, 2017, 768 : 221 - 232
  • [35] APDL: an adaptive step size method for white-box adversarial attacks
    Hu, Jiale
    Li, Xiang
    Liu, Changzheng
    Zhang, Ronghua
    Tang, Junwei
    Sun, Yi
    Wang, Yuedong
    COMPLEX & INTELLIGENT SYSTEMS, 2025, 11 (01)
  • [36] Accelerated projected gradient method with adaptive step size for compliance minimization problem
    Nishioka, Akatsuki
    Kanno, Yoshihiro
    JSIAM LETTERS, 2021, 13 : 33 - 36
  • [37] A Novel Variable Step Size Incremental Conductance Method with an Adaptive Scaling Factor
    Chuang, Man-Tsai
    Liu, Yi-Hua
    Ye, Song-Pei
    APPLIED SCIENCES-BASEL, 2020, 10 (15):
  • [38] Adaptive Step Size Method for the Power System Model of Dispatcher Training Simulator
    Hwang, Pyeong-Ik
    Ahn, Seon-Ju
    Hur, Seong-Il
    Yoon, Yong-Tae
    Moon, Seung-Il
    IEEE POWER AND ENERGY SOCIETY GENERAL MEETING 2010, 2010,
  • [39] A novel chaos control method based on conjugate direction and adaptive step size
    Xia, Yu
    Xie, Bangguo
    Yu, Yingye
    STRUCTURES, 2024, 63
  • [40] Warming up the Cold Start: Adaptive Step Size Method for the Urnings Algorithm
    Gergely, Bence
    van der Maas, Han L. J.
    Maris, Gunter K. J.
    Bolsinova, Maria
    ARTIFICIAL INTELLIGENCE IN EDUCATION. POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS, PRACTITIONERS, DOCTORAL CONSORTIUM AND BLUE SKY, AIED 2023, 2023, 1831 : 409 - 414