Neural Network Predistortion Based on Error- Filtering Algorithm in OFDM System

摘要：

Orthogonal Frequency Division Multiplexing (OFDM) system is equipped with the Solid State Power Amplifier (SSPA) which causes severe nonlinear distortions when it works near saturation. In this paper, a neural network predistorter is designed based on the adaptive inverse control technique. The error-ffitering algorithm is applied to improve the classical adaptive structure, hence the convergent process turns to be rapid by using the LMS algorithm. Simulation results demonstrate high efficiency and low complexity of the method, and the compensated system is characterized by the approximately ideal amplifier within the range of saturated input value.

作者: WANG Henghui ZHANG Hao YE Wu FENG Suili

作者单位: South China University of Technology,Guangzhou, PRC

会议类型: 国际会议

会议名称: 2005年无线通信、网络和移动计算国际会议

会议地点: 武汉

会议语种:英文

页码: 193-196

在线出版日期: 2005-09-23（万方平台首次上网日期，不代表论文的发表时间）