DocumentCode
2171221
Title
Adaptive Piecewise Linear Predistorter Based on PSO and Indirect Learning Architecture
Author
Liu, Hong-Yu ; Liu, Xiao-Feng
Author_Institution
Telecommun. Eng. Inst., Air Force Eng. Univ., Xi´´an, China
fYear
2009
fDate
17-19 Oct. 2009
Firstpage
1
Lastpage
3
Abstract
This paper puts forward the piecewise linear predistorter based on the PSO and bring out a FPGA implementation scheme based on the look-up table with low complexity when used in the high-speed predistortion system. Memoryless piecewise linear model and memory piecewise linear model are adopted according to the memory feature of power amplifiers. After approximating the nonlinear part by a piecewise linear function, its parameters are estimated by using PSO. The adaptive predistortion technique based on PSO is easy to implement. It is proved to be correct through Matlab simulation.
Keywords
field programmable gate arrays; particle swarm optimisation; power amplifiers; FPGA implementation scheme; PSO; adaptive piecewise linear predistorter; adaptive predistortion technique; indirect learning architecture; memory piecewise linear model; memoryless piecewise linear model; particle swarm optimisation; power amplifier; Baseband; Mathematical model; Neural networks; Parameter estimation; Piecewise linear approximation; Piecewise linear techniques; Power amplifiers; Power system modeling; Predistortion; Satellites;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-4129-7
Electronic_ISBN
978-1-4244-4131-0
Type
conf
DOI
10.1109/CISP.2009.5304678
Filename
5304678
Link To Document