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
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)