Reliable Methodology for Experimental Extraction of Power Amplifier Dynamic Volterra Model

被引：0
|
作者：
Gapillout, D. [1 ,2 ]
Maziere, C. [1 ]
Ngoya, E. [2 ]
Mons, S. [2 ]
机构：
[1] AMCAD Engn, 20 Av Atlantis, F-87068 Limoges, France
[2] Univ Limoges, XLIM, UMR CNRS 6172, F-87060 Limoges, France
来源：
2015 INTEGRATED NONLINEAR MICROWAVE AND MILLIMETRE-WAVE CIRCUITS WORKSHOP (INMMIC) | 2015年
关键词：
Behavioral modeling; Nonlinear Memory; Power Amplifiers;
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：
High power amplifiers (PA) are inherently nonlinear and have an important impact on RF front-ends behavior. Then, for designing a transceiver system, accurate behavioral models are necessary. Such models must take into account nonlinear signal distortions and memory effects. This paper presents an experimental measurement methodology and the associated setup that allow a reliable identification of one of the most advanced PA models, namely, the Two-Memory Path Nonlinear Integral Model. The procedure is validated on a silicon bipolar Darlington power amplifier.
引用
收藏
页数：3
相关论文
共 50 条
  • [41] SNR Model for Generalized Droop With Constant Output Power Amplifier Systems and Experimental Measurements
    Downie, John D.
    Liang, Xiaojun
    Ivanov, Viacheslav
    Sterlingov, Petr
    Kaliteevskiy, Nikolay
    JOURNAL OF LIGHTWAVE TECHNOLOGY, 2020, 38 (12) : 3214 - 3220
  • [42] A methodology for dynamic model abstraction
    Lee, K
    Fishwick, PA
    TRANSACTIONS OF THE SOCIETY FOR COMPUTER SIMULATION, 1996, 13 (04): : 217 - 229
  • [43] Efficient implementation of amodified-Volterra radio-frequencypower amplifier nonlinear dynamic model by global rational functions approximation
    Angelotti, Alberto Maria
    Gibiino, Gian Piero
    Santarelli, Alberto
    INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING, 2020, 30 (11)
  • [44] Methodology for dynamic model abstraction
    Univ of Florida, Gainesville, United States
    Trans Soc Comput Simul, 4 (217-229):
  • [45] Methodology of Recurrent Laguerre-Volterra Network for Modeling Nonlinear Dynamic Systems
    Geng, Kunling
    Marmarelis, Vasilis Z.
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 28 (09) : 2196 - 2208
  • [46] Dynamic deviation Volterra predistorter designed for linearizing power amplifiers
    Solovyeva E.B.
    Radioelectronics and Communications Systems, 2011, 54 (10) : 546 - 553
  • [47] A 50 order Volterra study of a 30W LDMOS power amplifier.
    Heiskanen, A
    Aikio, J
    Rahkonen, T
    PROCEEDINGS OF THE 2003 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL IV: DIGITAL SIGNAL PROCESSING-COMPUTER AIDED NETWORK DESIGN-ADVANCED TECHNOLOGY, 2003, : 616 - 619
  • [48] RF Power Amplifier Behavioral Modeling Based on Takenaka-Malmquist-Volterra Series
    Schumacher, Ricardo
    Lima, Eduardo G.
    Oliveira, Gustavo H. C.
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2016, 35 (07) : 2298 - 2316
  • [49] Neural Networks and Volterra series for time-domain power amplifier behavioral models
    Giannini, F.
    Colantonio, P.
    Orengo, G.
    Serino, A.
    Stegmayer, G.
    Pirola, M.
    Ghione, G.
    INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING, 2007, 17 (02) : 160 - 168
  • [50] Fast digital lock-in amplifier for dynamic spectrum extraction
    Zhou, Mei
    Li, Gang
    Lin, Ling
    JOURNAL OF BIOMEDICAL OPTICS, 2013, 18 (05)
12345