A New Pre-distorter Based on Neural Network for the Nonlinear HPA in Satellite Communications

摘要：

The Travel-Wave-Tube(TWT) used in the HPA in satellite communications may unexpectedly cause nonlinearity to the signals. A Pre-Distorter(PD) based on a feed-forward neural network will reduce these distortions. To simplify the conventional Levenberg-Marquardt algorithm for neuralnetwork, LMS algorithm is employed to reduce the complexity of the learning algorithm and a new scheme is proposed. Simulation results confirm that the proposed pre-distorter based on neural network consisting with one hidden layer and nine neurons gives a good performance improvement.

关键词： Neural Network Pre-distortion HPA TWT LMS

作者: Yong Xu Xinhai Tong

作者单位: Institute of Communications & Technology PLA University of Science & Technology Nanjing, China

会议类型: 国际会议

会议名称: 2010 International Conference on Communications and Intelligence Information Security(2010年国际信息与智能安全学术会议 ICCIIS2010)

会议地点: 南宁

会议语种:英文

页码: 168-171

在线出版日期: 2010-10-13（万方平台首次上网日期，不代表论文的发表时间）