A Black-Box Measurement-Based Modeling Method for the RF Emission and Immunity Behavior of ICs

被引:0
|
作者
Pues, Hugo [1 ]
Gazda, Celina [1 ]
机构
[1] Melexis Technol NV, Tessenderlo, Belgium
关键词
integrated circuit (IC); behavioral model; radio frequency (RF); electromagnetic compatibility (EMC); emission(s); immunity; scattering parameters (S-parameters); direct power injection (DPI);
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
A method is proposed that allows to construct behavioral models of the radio frequency (RF) emission and immunity performance of an integrated circuit (IC) without requiring any knowledge of its internal architecture or activity. It is based on three types of measurements: (1) multi-port scattering parameter (S-parameter) measurements using a vector network analyzer, (2) conducted emission measurements using an electromagnetic interference (EMI) receiver, and (3) conducted immunity measurements using a Direct Power Injection (DPI) test set-up. For these measurements, the IC-to-be-modeled is mounted on a simple test board that only contains 50-Omega microstrip lines running to each pin that needs to be included in the model. No other connections to the IC are provided on this board as all connections are made externally by means of properly selected commercial off-the-shelf (COTS) bias tees. In this way, it is made sure that the models only cover the intrinsic performance of the IC itself and that their validity is not limited to a particular application board or circuit environment. In this paper, the method is applied to a standard position sensor IC in the frequency range of 300 kHz to 2.5 GHz. However, the method should work well from nearly DC to about 3 GHz for ICs with (1) package dimensions of less than 10 mm x 10 mm x 2.5 mm, and (2) less than 12 pins to be included in the model.
引用
收藏
页码:1002 / 1006
页数:5
相关论文
共 50 条
  • [31] Surrogate-Based Black-Box Optimization Method for Costly Molecular Properties
    Leguy, Jules
    Duval, Beatrice
    Da Mota, Benoit
    Cauchy, Thomas
    2021 IEEE 33RD INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2021), 2021, : 780 - 785
  • [32] Artificial Neural Network-Based Nonlinear Black-Box Modeling of Synchronous Generators
    Micev, Mihailo
    Calasan, Martin
    Radulovic, Milovan
    Aleem, Shady H. E. Abdel
    Hasanien, Hany M.
    Zobaa, Ahmed F.
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (03) : 2826 - 2837
  • [33] Learning-Based Power Modeling of System-Level Black-Box IPs
    Lee, Dongwook
    Kim, Taemin
    Han, Kyungtae
    Hoskote, Yatin
    John, Lizy K.
    Gerstlauer, Andreas
    2015 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN (ICCAD), 2015, : 847 - 853
  • [34] Measurement-based closed-form modeling of surface-mounted RF components
    Naishadham, K
    Durak, T
    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2002, 50 (10) : 2276 - 2286
  • [35] A Novel Surrogate-Based Optimization Method for Black-Box Simulation with Heteroscedastic Noise
    Wang, Zilong
    Ierapetritou, Marianthi
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2017, 56 (38) : 10720 - 10732
  • [36] An adaptive metamodel-based global approximation method for black-box type problems
    Yin, Xiao-liang
    Yin, Ling-peng
    Qian, Chen
    ADVANCES IN MECHANICAL ENGINEERING, 2023, 15 (06)
  • [37] SSQLi: A Black-Box Adversarial Attack Method for SQL Injection Based on Reinforcement Learning
    Guan, Yuting
    He, Junjiang
    Li, Tao
    Zhao, Hui
    Ma, Baoqiang
    FUTURE INTERNET, 2023, 15 (04):
  • [38] Accurate Waveform Detection Method for Traveling Wave Based on Adaptive Black-box Inversion
    Lei L.
    Li Z.
    Xia Y.
    Li W.
    Mu L.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2022, 46 (15): : 128 - 135
  • [39] Feasibility analysis of black-box processes using an adaptive sampling kriging based method
    Boukouvala, Fani
    Muzzio, Fernando J.
    Ierapetritou, Marianthi G.
    21ST EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, 2011, 29 : 432 - 436
  • [40] A Kriging-based sequential optimization method with dual transformation for black-box models
    Li, Yaohui
    Zhang, Quanyou
    Wu, Yizhong
    Wang, Shuting
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2018, 35 (02) : 1471 - 1482