The State of the Art of Microwave CAD: EM-Based Optimization and Modeling

被引:28
|
作者
Cheng, Qingsha S. [1 ]
Bandler, John W. [1 ]
Koziel, Slawomir [2 ]
Bakr, Mohamed H. [1 ]
Ogurtsov, Stanislav [2 ]
机构
[1] McMaster Univ, Dept Elect & Comp Engn, Hamilton, ON L8S 4K1, Canada
[2] Reykjavik Univ, Sch Sci & Engn, IS-101 Reykjavik, Iceland
基金
加拿大自然科学与工程研究理事会;
关键词
optimization; adjomt sensitivity; surrogate modeling; space mapping; EM simulator; circuit simulator; tuning; S-PARAMETER SENSITIVITIES; ADJOINT VARIABLE METHOD; SPACE-MAPPING APPROACH; CIRCUIT OPTIMIZATION; DESIGN SENSITIVITY; ENGINEERING OPTIMIZATION; SCATTERING PARAMETERS; FREQUENCY; NETWORK; FRAMEWORK;
D O I
10.1002/mmce.20454
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We briefly review the current state of the art of microwave CAD technologies. We look into the history of design optimization and CAD-oriented modeling of microwave circuits as well as electromagnetics-based optimization techniques. We emphasize certain direct approaches that utilize efficient sensitivity evaluations as well as surrogate-based optimization approaches that greatly enhance electromagnetics-based optimization performance. On the one hand, we review recent ad joint methodologies, on the other we focus on space mapping implementations, including the original, aggressive, implicit, output, tuning, and related developments. We illustrate our presentation with suitable examples and applications. (C) 2010 Wiley Periodicals. Inc Int J RF and Microwave CAE 20475-491, 2010
引用
收藏
页码:475 / 491
页数:17
相关论文
共 50 条
  • [21] EM-based design tools for microwave circuits using fuzzy logic techniques
    Miraftab, V
    Mansour, RR
    [J]. 2003 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM DIGEST, VOLS 1-3, 2003, : 169 - 172
  • [22] Hybrid Methods - Efficient EM CAD and Optimization of Microwave Components and Antennas
    Arndt, F.
    [J]. 2015 IEEE MTT-S INTERNATIONAL CONFERENCE ON NUMERICAL ELECTROMAGNETIC AND MULTIPHYSICS MODELING AND OPTIMIZATION (NEMO), 2015,
  • [23] Privacy Preserving EM-Based Clustering
    Luong The Dung
    Ho Tu Bao
    [J]. 2009 IEEE-RIVF INTERNATIONAL CONFERENCE ON COMPUTING AND COMMUNICATION TECHNOLOGIES: RESEARCH, INNOVATION AND VISION FOR THE FUTURE, 2009, : 111 - +
  • [24] Improvement techniques for the EM-based neural network approach in RF components modeling
    Liu Tao
    Zhang Wenjun
    Ma Jun
    Yu Zhiping
    [J]. ADVANCES IN NEURAL NETWORKS - ISNN 2007, PT 1, PROCEEDINGS, 2007, 4491 : 512 - +
  • [25] Reliable Space-Mapping Optimization Integrated With EM-Based Adjoint Sensitivities
    Koziel, Slawomir
    Ogurtsov, Stanislav
    Bandler, John W.
    Cheng, Qingsha S.
    [J]. IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2013, 61 (10) : 3493 - 3502
  • [26] Implicit Space Mapping EM-based modeling and design exploiting preassigned parameters
    Bandler, JW
    Cheng, QS
    Georgieva, N
    Ismail, MA
    [J]. 2002 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM DIGEST, VOLS 1-3, 2002, : 713 - 716
  • [27] EM-based yield optimization exploiting trust-region optimization and space mapping technology
    Hassan, Abdel-Karim S. O.
    Mohamed, Ahmed S. A.
    El-Sharabasy, Ahmed Y.
    [J]. INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING, 2015, 25 (06) : 474 - 484
  • [28] EM-based channel estimation for OFDM
    Ma, XQ
    Kobayashi, H
    Schwartz, SC
    [J]. 2001 IEEE PACIFIC RIM CONFERENCE ON COMMUNICATIONS, COMPUTERS AND SIGNAL PROCESSING, VOLS I AND II, CONFERENCE PROCEEDINGS, 2001, : 449 - 452
  • [29] An EM-based estimation of OFDM signals
    Ma, XQ
    Kobayashi, H
    Schwartz, SC
    [J]. WCNC 2002: IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE RECORD, VOLS 1 & 2, 2002, : 228 - 232
  • [30] STATE OF THE ART AND PRESENT TRENDS IN NONLINEAR MICROWAVE CAD TECHNIQUES
    RIZZOLI, V
    NERI, A
    [J]. IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 1988, 36 (02) : 343 - 365