基于RBF神经网络的HPA自适应预失真算法
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家部委预研基金资助项目(113030401)


Adaptive Predistortion Based on RBF Neural Network for HPA
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    卫星通信中,高速数据传输系统要求使用频谱利用率高的高阶调制技术,但高阶调制对高功率放大器(HPA)的非线性非常敏感,会造成码间干扰和邻信道间干扰。提出一种基于RBF神经网络的自适应预失真算法,以实现HPA的线性化,同时推导了自适应算法的迭代公式。仿真结果表明,该算法能明显改善信号星座图,并能大大提高系统的误比特率性能。

    Abstract:

    The more bandwidth efficient modulation schemes are used for high speed data transmission systems in the satellite communication. But these schemes are sensitive to the nonlinearity of high power amplifiers (HPA). The nonlinearity of HPA causes inter symbol interference (ISI) and adjacent channel interference (ACI). A scheme for adaptive digital predistortion based on RBF neural network for HPA onboard the satellites was proposed to linearization HPA . And the adaptive arithmetic of stochastic gradient method was derived. Simulation results show that the scheme can not only correct the constellation distortion obviously, but also improve the system BER performance greatly.

    参考文献
    相似文献
    引证文献
引用本文

李爱红,肖山竹,张尔扬.基于RBF神经网络的HPA自适应预失真算法[J].国防科技大学学报,2008,30(3):105-108.
LI Aihong, XIAO Shanzhu, ZHANG Eryang. Adaptive Predistortion Based on RBF Neural Network for HPA[J]. Journal of National University of Defense Technology,2008,30(3):105-108.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2007-09-02
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2012-12-07
  • 出版日期:
文章二维码