Wavelet network with hybrid algorithm to linearize high power amplifiers

被引:0
|
作者
Rodriguez, Nibaldo [1 ]
Cubillos, Claudio [1 ]
机构
[1] Pontif Univ Catholic Valparaiso, Av Brasil 2241, Valparaiso, Chile
来源
关键词
wavelet network; linearizing; power amplifier; digital modulation;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper propose a linearizing scheme based on wavelet networks to reduce nonlinear distortion introduced by a high power amplifier over 256QAM signals. Parameters of the proposed linearizer are estimated by using a hybrid algorithm, namely least square and gradient descent. Computer simulation results confirm that once the 256QAM signals are amplified at an input back off level of 0 dB, there is a reduction of 29 dB spectrum re-growth. In addition proposed linearizing scheme has a low complexity and fast convergence.
引用
收藏
页码:1016 / +
页数:2
相关论文
共 50 条
  • [41] A robust digital predistortion algorithm for power amplifiers
    Bu, Yun
    Li, Tian-Qian
    Chen, Yong-Qiang
    IEICE ELECTRONICS EXPRESS, 2014, 11 (05):
  • [42] Modeling and optimization of refinery hydrogen network - a new strategy to linearize power equation of new compressor
    Mahmoud, Ahmed
    Adam, Abdel Samed M.
    Sunarso, Jaka
    Liu, Shaomin
    ASIA-PACIFIC JOURNAL OF CHEMICAL ENGINEERING, 2017, 12 (06) : 948 - 959
  • [43] An Algorithm Implementation for Gain Control and Power Compensation in Power Amplifiers
    Jaiswal, S.
    Singh, Pranav P.
    Srivastava, S.
    Arora, R.
    Bharadhwaj, P. S.
    2015 INTERNATIONAL CONFERENCE ON MICROWAVE, OPTICAL AND COMMUNICATION ENGINEERING (ICMOCE), 2015, : 52 - 55
  • [44] An optimal algorithm to wavelet neural network
    Wang Hongbin
    Chen Huiming
    Zhang Liyi
    ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 2601 - 2604
  • [45] Algorithm of wavelet RBF neural network
    Ding, XH
    Deng, SX
    Li, LL
    PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SCIENCE AND TECHNOLOGY, VOL 3, 2002, : 756 - 760
  • [46] Performance of Hybrid Filter in a Microgrid Integrated Power System Network Using Wavelet Techniques
    Das, Soumya Ranjan
    Ray, Prakash K.
    Sahoo, Arun Kumar
    Ramasubbareddy, Somula
    Babu, Thanikanti Sudhakar
    Kumar, Nallapaneni Manoj
    Haes Alhelou, Hassan
    Siano, Pierluigi
    APPLIED SCIENCES-BASEL, 2020, 10 (19):
  • [47] A simplified adaptive nonlinear predistorter for high power amplifiers based on the direct learning algorithm
    Zhou, DY
    DeBrunner, V
    2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL IV, PROCEEDINGS: AUDIO AND ELECTROACOUSTICS SIGNAL PROCESSING FOR COMMUNICATIONS, 2004, : 1037 - 1040
  • [48] Short-term wind power forecasting by genetic algorithm of wavelet neural network
    20144900293289
    (1) Electric Power Engineering Institute, North China Electric Power University, Baoding, China, Future University Hakodate; IEEE Sapporo Section; Xiamen University (Institute of Electrical and Electronics Engineers Inc., United States):
  • [49] Research on power load forecasting of wavelet neural network based on the improved genetic algorithm
    Zhang, Ruihong
    Yu, Zhichao
    INTERNATIONAL JOURNAL OF AMBIENT ENERGY, 2019, 43 (01) : 1036 - 1040
  • [50] Fault diagnostic method for power transformer based on improved wavelet neural network algorithm
    Chen, Weigen
    Pan, Chong
    Yun, Yuxin
    Wang, Youyuan
    Sun, Caixin
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2008, 29 (07): : 1489 - 1493