Title :
A Novel Approach to Pruning Volterra Models with Memory Effects
Author :
Xie, Zhongshan ; Liu, Bing ; Liu, Wei ; Chen, Qingting ; Zhu, Dewei
Author_Institution :
Coll. of Electron. & Inf. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
In this paper, we propose a novel Volterra-based behavioral model for RF power amplifiers implemented through using a function of system´s order(p) with sum of the memory length. The parameters of this model can be extracted in digital domain since the model is analyzed based on the envelope signals. This model enables a substantial reduction in the number of parameters involved, and good accuracy.
Keywords :
Volterra series; power amplifiers; radiofrequency amplifiers; RF power amplifier; Volterra model pruning; Volterra-based behavioral model; digital domain; envelope signals; memory effects; Analytical models; Complexity theory; Computational modeling; Microwave communication; Radio frequency; Volterra series; behavioral modeling; memory effect; power ampli?er (PA);
Conference_Titel :
Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4577-1419-1
DOI :
10.1109/ICM.2011.174
