An New Adaptive Digital Predistortion Technology Based on RBF-Neural Network

摘要：

To overcome the inherent nonlinearity of high power amplifier, we have to make a linearization process. First, this paper makes a comparison between BP and RBF Neural Network. And then on the base of description of the basic principle about digital predistortion, the paper propose a adaptive digital predistortion technology based on RBF-Neural Network, which can improve amplitude-distortion and phasedistortion at the same time, having an obvious impromerit on ACPR and CLIPPING. Last, the paper use a 16QAM signal to make a matlab simulation, the result also prove this technology have a good performance.

关键词： Power amplifier predistortion RBF-neural network ACPR clipping

作者: Qiu Wei Zhu Minghua Xie Huijun

作者单位: The base of China Ocean Measure, Jiangyin 214431 China

会议类型: 国际会议

会议名称: 2010 International Conference on Information Technology and Industrial Engineering(2010年信息技术与工业工程国际学术会议 ITIE 2010)

会议地点: 武汉

会议语种:英文

页码: 953-956

在线出版日期: 2010-06-06（万方平台首次上网日期，不代表论文的发表时间）