Efficient Sensitivity and Variability Analysis of Nonlinear Microwave Stages Through Concurrent TCAD and EM Modeling

被引:15
|
作者
Guerrieri, Simona Donati [1 ]
Ramella, Chiara [1 ]
Bonani, Fabrizio [1 ]
Ghione, Giovanni [1 ]
机构
[1] Politecn Torino, DET Dipartimento Elettron & Telecomunicaz, I-10129 Turin, Italy
关键词
Electromagnetic simulation; microwave stage design; nonlinear models; nonlinear variability; X-parameters;
D O I
10.1109/JMMCT.2019.2962083
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
An accurate, yet computationally efficient, computer-aided design (CAD) framework is proposed for the concurrent variability analysis of the active and a passive part of a radio frequency (RF)/microwave nonlinear stage. Both the active and passive parts are modeled, fully retaining a link to their physical and technological parameters. This allows for a global assessment of the nonlinear stage sensitivity and variability due to process variations. The active device is first modeled through technology CAD (TCAD); then, the model is implemented within an BF/microwave electronic design automation (EDA) circuit simulator through X-parameters. The passive part is modeled by means of accurate electromagnetic (EM) simulations and then taken into account in the circuit simulator through parametrized S-parameters. The method is demonstrated by analyzing a deep class AB power amplifier (PA) at 12 GHz in GaAs field-effect transistor (FET) technology. In particular, a Monte Carlo analysis of the output power variability around the nominal value of 26.4 dBm due to technological variations of both active device and output matching network is presented. The active device variability is shown to dominate over the passive structure one, even if up to 30% of the overall variance is due to the passive elements at intermediate input power levels.
引用
收藏
页码:356 / 363
页数:8
相关论文
共 50 条
  • [1] A novel approach to microwave circuit large-signal variability analysis through efficient device sensitivity-based physical modeling
    Guerrieri, Simona Donati
    Bonani, Fabrizio
    Ghione, Giovanni
    2016 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM (IMS), 2016,
  • [2] Physics-based SS and SSLS variability assessment of microwave devices through efficient sensitivity analysis
    Bertazzi, F.
    Bonani, F.
    Guerrieri, S. Donati
    Ghione, G.
    2012 WORKSHOP ON INTEGRATED NONLINEAR MICROWAVE AND MILLIMETRE-WAVE CIRCUITS (INMMIC), 2012,
  • [3] Efficient analytical formulation and sensitivity analysis of neuro-space mapping for nonlinear microwave device modeling
    Zhang, L
    Xu, JJ
    Yagoub, MCE
    Ding, RT
    Zhang, QJ
    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2005, 53 (09) : 2752 - 2767
  • [4] Large-signal variability of microwave power amplifiers through efficient device sensitivity-based physical modeling
    Guerrieri, Simona Donati
    Bonani, Fabrizio
    Ghione, Giovanni
    INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING, 2017, 27 (06)
  • [5] Efficient EM-based variability analysis of passive microwave structures through parameterized reduced-order behavioral models
    Ramella, C.
    Zanco, A.
    De Stefano, M.
    Bradde, T.
    Pirola, M.
    Grivet-Talocia, S.
    2022 17TH EUROPEAN MICROWAVE INTEGRATED CIRCUITS CONFERENCE (EUMIC 2022), 2022, : 5 - 8
  • [6] Concurrent Efficient Evaluation of Small-Change Parameters and Green's Functions for TCAD Device Noise and Variability Analysis
    Guerrieri, Simona Donati
    Pirola, Marco
    Bonani, Fabrizio
    IEEE TRANSACTIONS ON ELECTRON DEVICES, 2017, 64 (03) : 1261 - 1267
  • [7] Comprehensive Analysis of Process Variability on AlGaN/GaN HEMTs through TCAD Simulations
    Miccoli, Cristina
    Martino, Valeria Cinnera
    Rinaudo, Salvatore
    HETEROSIC & WASMPE 2011, 2012, 711 : 218 - 222
  • [8] FDTD based EM Modeling and Analysis for Microwave Imaging of Biological Tissues
    Rufus, Elizabeth
    Alex, Zachariah C.
    2013 IEEE INTERNATIONAL CONFERENCE ON SMART STRUCTURES AND SYSTEMS (ICSSS), 2013, : 87 - 91
  • [9] Parametric Modeling of Microwave Components Using Adjoint Neural Networks and Pole-Residue Transfer Functions With EM Sensitivity Analysis
    Feng, Feng
    Gongal-Reddy, Venu-Madhav-Reddy
    Zhang, Chao
    Ma, Jianguo
    Zhang, Qi-Jun
    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2017, 65 (06) : 1955 - 1975
  • [10] Efficient Approximation Models of Microwave Devices Through Incremental Modeling
    Barmuta, Pawel
    Lukasik, Konstanty
    Wiatr, Wojciech
    Schreurs, Dominique
    2020 23RD INTERNATIONAL MICROWAVE AND RADAR CONFERENCE (MIKON 2020), 2020, : 214 - 217