Title :
A Hammerstein predistortion linearization design based on the indirect learning architecture
Author :
Ding, Lei ; Raich, Raviv ; Zhou, G.Tong
Author_Institution :
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, 30332-0250, USA
Abstract :
Power amplifiers (PAs) are inherently nonlinear devices and are used in virtually all communications systems. Digital baseband predistortion is a highly cost effective way to linearize the PAs, but most existing architectures assume that the PA has a memoryless nonlinearity. For wider bandwidth applications such as WCDMA, PA memory effects can no longer be ignored, and memoryless predistortion has limited effectiveness. In this paper, we model the PA as a Wiener system and construct a Hammerstein predistorter, obtained using an indirect learning architecture. Linearization performance is demonstrated on a 3-carrier UMTS signal.
Keywords :
Memory architecture; Microwave measurements; Microwave theory and techniques; Mobile communication; OFDM; Predistortion;
Conference_Titel :
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.2002.5745202
