Models with memory for RF power amplifier behavioral modeling

被引:0
|
作者
Chen X. [1 ]
Xiao Y. [2 ]
Han H. [1 ]
Chang J. [2 ]
Tang N. [2 ]
机构
[1] State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System (CEMEE), Luoyang
[2] Harbin Engineering University, Harbin
基金
中国国家自然科学基金;
关键词
Behavioral modeling; Memory polynomials model; Power amplifiers (PAs);
D O I
10.23940/ijpe.19.08.p8.20912099
中图分类号
学科分类号
摘要
Power amplifiers are used to amplify signals to the required power and then transmit the signals through antennas. They are the key component of modern wireless communication systems. However, the power amplifier itself has non-linear characteristics and memory effect, especially when the input signal is a broadband signal and high frequency signal, which seriously affects the normal transmission of communication systems. In this paper, the RF power amplifier under test is an amplifier using a BLT53A transistor. We collect the input and output signals of the power amplifier for behavioral modeling. The behavior model only considers the input and output of the amplifier. We adopt a memory polynomial model based on the least squares method. In this paper, we evaluate the correctness of the model from many aspects including AM-AM curve, AM-PM curve, spectrum, gain compression, constellation diagram, and normalized mean square error. The results show that the model is effective. © 2019 Totem Publisher, Inc. All rights reserved.
引用
收藏
页码:2091 / 2099
页数:8
相关论文
共 50 条
  • [1] Estimation of memory length for RF power amplifier behavioral models
    O'Brien, Bill
    Dooley, John
    Zhu, Anding
    Brazil, Thomas J.
    2006 EUROPEAN MICROWAVE CONFERENCE, VOLS 1-4, 2006, : 1471 - +
  • [2] Estimation of Sparse Memory Taps for RF Power Amplifier Behavioral Models
    Dooley, John
    O'Brien, Bill
    Finnerty, Keith
    Farrell, Ronan
    IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, 2015, 25 (01) : 64 - 66
  • [3] Memory behavioral modeling of RF power amplifiers
    Sanchez, Cesar
    de Mingo, Jesus
    Garcia, Paloma
    Luis Carro, Pedro
    Valdovinos, Antonio
    2008 IEEE 67TH VEHICULAR TECHNOLOGY CONFERENCE-SPRING, VOLS 1-7, 2008, : 1954 - 1958
  • [4] Comparison of the Behavioral Modelings for RF Power Amplifier With Memory Effects
    Wang, Huadong
    Bao, Jingfu
    Wu, Zhengdu
    IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, 2009, 19 (03) : 179 - 181
  • [5] RF Power Amplifier Behavioral Modeling using Wavelet Multiresolution
    Mateo, Carlos
    Luis Carro, Pedro
    Garcia, Paloma
    de Mingo, Jesus
    2015 IEEE Topical Conference on Power Amplifiers for Wireless and Radio Applications (PAWR), 2015, : 68 - 70
  • [6] Comparison of RF Power Amplifier Behavioral Models with Respect to Their Modeling Capabilities in Adjacent and Alternate Bands
    Hoflehner, Markus
    Springer, Andreas
    COMPUTER AIDED SYSTEMS THEORY - EUROCAST 2011, PT II, 2012, 6928 : 9 - 16
  • [7] Sparsity Adaptive Estimation of Memory Polynomial Based Models for Power Amplifier Behavioral Modeling
    Li, Mingyu
    Yang, Zhenxing
    Zhang, Zhongming
    Li, Ruoyu
    Dong, Qing
    Nakatake, Shigetoshi
    IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, 2016, 26 (05) : 370 - 372
  • [8] Selection of Compressed Training Data for RF Power Amplifier Behavioral Modeling
    Wang, Ziming
    Dooley, John
    Finnerty, Keith
    Farrell, Ronan
    2015 10TH EUROPEAN MICROWAVE INTEGRATED CIRCUITS CONFERENCE (EUMIC), 2015, : 53 - 56
  • [9] RF power amplifier behavioral modeling using Volterra expansion with Laguerre functions
    Zhu, AD
    Brazil, TJ
    2005 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM, VOLS 1-4, 2005, : 963 - 966
  • [10] RF power amplifier behavioral modeling using a globally recurrent neural network
    O'Brien, Bill
    Dooley, John
    Brazil, Thomas J.
    2006 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM DIGEST, VOLS 1-5, 2006, : 1089 - +