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一种基于神经网络的非线性卫星HPA预失真器
引用本文:徐勇,童新海,刘渊.一种基于神经网络的非线性卫星HPA预失真器[J].解放军理工大学学报,2011,0(6):569-573.
作者姓名:徐勇  童新海  刘渊
作者单位:1.解放军理工大学 通信工程学院,江苏 南京 210007; 2.解放军防化学院,北京 102205
基金项目:江苏省自然科学基金资助项目(BK2009057).
摘    要:卫星通信中放大器使用的行波管(TWT)会引起信号的非线性畸变,对通信质量造成较大影响.为解决这种不利影响,在放大器前端采用非线性预失真,能较理想地消除放大器的非线性.由于神经网络能够对非线性函数进行较好地拟合,可以将其引入预失真器的设计.为简化神经网络中的LM算法,提出了一种采用LMS算法的系统模型,并建立新的自适应预...

关 键 词:神经网络  预失真  高增益放大器  行波管放大器  最小均方算法
收稿时间:2010-07-02
修稿时间:2010-07-02.

Neural network based pre distorter for linearization of HPA nonlinearity in satellite communications
XU Yong,TONG Xin-hai and LIU Yuan.Neural network based pre distorter for linearization of HPA nonlinearity in satellite communications[J].Journal of PLA University of Science and Technology(Natural Science Edition),2011,0(6):569-573.
Authors:XU Yong  TONG Xin-hai and LIU Yuan
Institution:1.Institute of Communications Engineering, PLA Univ. of Sci. & Tech., Nanjing 210007, China; 2.Institute of Chemical Defense of PLA, Beijing 102205,China
Abstract:The travel wave tube(TWT) used in the HPA in satellite communications may unexpectedly cause nonlinearity to the signals. A pre distortion will reduce these distortions. The pre distorter is based on a feed forward neural network. To simplify the traditional Levenberg Marquardt (LM) Algorithm for neural network, a new least mean square (LMS) algorithm based model was proposed in which way the complexity of the algorithm was reduced. Simulation results confirmed that the proposed pre distorter based on neural network consisting with one hidden layer and nine neurons produces a good performance improvement of quality of the transmission.
Keywords:neural network  pre distortion  HPA(high power  amplifier)  TWTA(travel wave tube  amplifier)  LMS
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