Broadband Uncertainty Quantification with the FDTD Method and the Multi-Complex Step Derivative Approximation

被引:0
|
作者
Liu, Kae-An [1 ]
Sarris, Costas D. [1 ]
机构
[1] Edward S Rogers Sr Dept Elect & Comp Engn, Toronto, ON, Canada
关键词
TIME-DOMAIN METHOD; POLYNOMIAL CHAOS; CIRCUITS;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper has a two-fold objective: first, to introduce a new method for the accurate computation of electromagnetic field derivatives, up to any order, with respect to the geometric and material parameters of an electromagnetic structure, via the Finite-Difference Time-Domain method; second, to leverage this method for performing sensitivity analysis, parametric modeling and uncertainty quantification in electromagnetic problems. The main idea is that the availability of high-order field derivatives enables a high-order Taylor expansion of any output function of interest with respect to design parameters around their nominal values. This expansion can then serve as an accurate surrogate model of the problem, extracted via full-wave analysis, yet suitable for fast uncertainty quantification and optimization studies.
引用
收藏
页码:1642 / 1645
页数:4
相关论文
共 50 条
  • [1] High-Order Sensitivity Analysis with FDTD and the Multi-Complex Step Derivative Approximation
    Liu, Kae-An
    Sarris, Costas D.
    [J]. 2017 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM (IMS), 2017, : 687 - 689
  • [2] Broadband Sensitivity Analysis in a single FDTD simulation with the Complex Step Derivative Approximation
    Sarris, Costas D.
    Lang, Hans-Dieter
    [J]. 2015 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM (IMS), 2015,
  • [3] The complex-step derivative approximation
    Martins, JRRA
    Sturdza, P
    Alonso, JJ
    [J]. ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE, 2003, 29 (03): : 245 - 262
  • [4] Computation of High-Order Electromagnetic Field Sensitivities With FDTD and the Complex-Step Derivative Approximation
    Liu, Kae-An
    Lang, Hans-Dieter
    Sarris, Costas D.
    [J]. IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2019, 67 (06) : 3974 - 3986
  • [5] Multilevel Monte Carlo FDTD Method for Uncertainty Quantification
    Zhu, Xiaojie
    Di Rienzo, Luca
    Ma, Xikui
    Codecasa, Lorenzo
    [J]. IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2022, 21 (10): : 2030 - 2034
  • [6] SECOND-ORDER KALMAN FILTERS USING MULTI-COMPLEX STEP DERIVATIVES
    Vittaldev, Vivek
    Russell, Ryan P.
    Arora, Nitin
    Gaylor, David
    [J]. SPACEFLIGHT MECHANICS 2012, 2012, 143 : 1517 - +
  • [7] The complex step approximation to the Frechet derivative of a matrix function
    Al-Mohy, Awad H.
    Higham, Nicholas J.
    [J]. NUMERICAL ALGORITHMS, 2010, 53 (01) : 133 - 148
  • [8] Complex-step derivative approximation in noisy environment
    Nikolovski, Filip
    Stojkovska, Irena
    [J]. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2018, 327 : 64 - 78
  • [9] A Multi-Resolution FDTD Method for Uncertainty Quantification In the Time-Domain Modeling of Microwave Structures
    Wang, Luyu
    Sarris, Costas D.
    [J]. 2014 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM (IMS), 2014,
  • [10] An Adaptive Least Angle Regression Method for Uncertainty Quantification in FDTD Computation
    Hu, Runze
    Monebhurrun, Vikass
    Himeno, Ryutaro
    Yokota, Hideo
    Costen, Fumie
    [J]. IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2018, 66 (12) : 7188 - 7197