A Volterra mapping-based S-parameter behavioral model for nonlinear RF and microwave circuits and systems

被引:0
|
作者
Wang, TH [1 ]
Brazil, TJ [1 ]
机构
[1] Natl Univ Ireland Univ Coll Dublin, Dept Elect & Elect Engn, Dublin 4, Ireland
关键词
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 presents a Volterra mapping-based S-parameter equivalent model for nonlinear BE/Microwave circuits and systems. In this S-parameter-oriented approach to behavioral modelling, the linear part and the nonlinear parts are independent and have their own physical definitions. It is straightforward to obtain estimates of linear and nonlinear distortion by using the model parameters, as well as obtaining predictions of the behaviour of nonlinear networks.
引用
收藏
页码:783 / 786
页数:4
相关论文
共 50 条
  • [31] A frequency-domain, volterra series-based behavioral simulation tool for RF systems
    Vassiliou, I
    Sangiovanni-Vincentelli, A
    PROCEEDINGS OF THE IEEE 1999 CUSTOM INTEGRATED CIRCUITS CONFERENCE, 1999, : 21 - 24
  • [32] Equation-based behavioral model generation for nonlinear analog circuits
    Borchers, C
    Hedrich, L
    Barke, E
    33RD DESIGN AUTOMATION CONFERENCE, PROCEEDINGS 1996, 1996, : 236 - 239
  • [33] Consistent DC and RF MOSFET Modeling Using an S-Parameter Measurement-Based Parameter Extraction Method in the Linear Region
    Zarate-Rincon, Fabian
    Torres-Torres, Reydezel
    Murphy-Arteaga, Roberto S.
    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2015, 63 (12) : 4255 - 4262
  • [34] A Drain Lag Model for GaN HEMT based on Chalmers Model and Pulsed S-Parameter Measurements
    Luo, Peng
    Bengtsson, Olof
    Rudolph, Matthias
    2017 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM (IMS), 2017, : 236 - 239
  • [35] A fully-scalable de-embedding method for on-wafer S-parameter characterization of CMOS RF/microwave devices
    Cho, MH
    Chiu, CS
    Huang, GW
    Teng, YM
    Chang, LH
    Chen, KM
    Chen, WL
    2005 IEEE RADIO FREQUENCY INTEGRATED CIRCUITS (RFIC) SYMPOSIUM, DIGEST OF PAPERS, 2005, : 303 - 306
  • [36] Nonlinear mapping-based feedback technique of dynamic surface control for the chaotic PMSM using neural approximation and parameter identification
    Gao, Shigen
    Dong, Hairong
    Ning, Bin
    Tang, Tao
    Li, Yidong
    IET CONTROL THEORY AND APPLICATIONS, 2018, 12 (06): : 819 - 827
  • [37] BPNN-Based Behavioral Modeling of the S-Parameter Variation Characteristics of PAs with Frequency at Different Temperatures
    He, Zhao
    Zhou, Shaohua
    MICROMACHINES, 2022, 13 (11)
  • [38] Identification of nonlinear systems based on the bispectrum and a second order Volterra model
    López, JG
    Santiago, JJM
    PROCEEDINGS OF THE 2000 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, VOL 1 AND 2, 2000, : 695 - 699
  • [39] A Behavioral Dynamic Nonlinear Model for Time-Interleaved ADC Based on Volterra Series
    Wei, Wentao
    Ye, Peng
    Song, Jinpeng
    Zeng, Hao
    Gao, Jian
    Zhao, Yu
    IEEE ACCESS, 2019, 7 : 41860 - 41873
  • [40] A 110 GHz scalable FET model based on 50 GHz S-parameter measurements
    Cidronali, A
    Collodi, G
    Santarelli, A
    Vannini, G
    2000 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM DIGEST, VOLS 1-3, 2000, : 1377 - 1380