会议专题

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

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.

Power amplifier predistortion RBF-neural network ACPR clipping

Qiu Wei Zhu Minghua Xie Huijun

The base of China Ocean Measure, Jiangyin 214431 China

国际会议

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)

武汉

英文

953-956

2010-06-06(万方平台首次上网日期,不代表论文的发表时间)