ANFIS Implementation in FPGA for Power Amplifier Linearization with Digital Predistortion

摘要：

This paper presents a hardware implementation of an adaptive neuro-fuzzy inference system (ANFIS)InFPGA for power amplifier linearization with digital predistortion. The proposed approach approximates the inverse AM/AM and AM/PM characteristic of power amplifiers (PA) with two equivalent ANFIS of a first-order Sugeno FIS. The parameters of the ANFIS are obtained by an offline training process with neural networks algorithms. The linearity performance of the power amplifier is improved significantly withThis technique.Experimental results show that about 5 to 10dB ACPR reduction could be achieved for 3.75MHz 16-QAM signals.

作者: Jianfeng Zhai Jianyi Zhou Lei Zhang Jianing Zhao Wei Hong

作者单位: State Key Lab.of Millimeter Waves,School of Information Science and Engineering Southeast University,Nanjing,210096,China

会议类型: 国际会议

会议名称: 2008 International Conference on Microwave and Millimeter Wave Technology(2008国际微波毫米波技术会议)

会议地点: 南京

会议语种:英文

页码: 1474-1476

在线出版日期: 2008-04-21（万方平台首次上网日期，不代表论文的发表时间）