DocumentCode :
3490197
Title :
Analysis of different predistortion structures and efficient least-square adaptive algorithms
Author :
Yeqing, Qian ; Qi, Li ; Tianren, Yao
Author_Institution :
Dept. of Electron. & Inf., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume :
2
fYear :
2003
fDate :
6-10 April 2003
Abstract :
Adaptive predistortion is one of the most promising techniques to overcome the nonlinearity of high power amplifier (HPA). However, the adaptation of the predistorter is not satisfied, for many efficient least-square (LS) adaptive algorithm cannot be used. We analyze previously published predistortion structures and their difficulties in adapting with these efficient algorithms. The proposed structure constructs the desired output of the predistorter, so many efficient LS adaptive algorithms can be used directly, which implies that we can obtain faster convergence and lower complexity in adaptive process. Simulation results using the recursive least square (RLS) algorithm in adaptation demonstrate about 30 dB spectrum spreading improvement.
Keywords :
adaptive signal processing; convergence of numerical methods; distortion; least squares approximations; power amplifiers; radiofrequency amplifiers; spread spectrum communication; LS adaptive algorithms; RLS algorithm; adaptive predistortion; complexity; convergence; efficient least-square adaptive algorithms; nonlinear high power amplifier; predistortion structures; recursive least square algorithm; simulation results; spread spectrum spreading communication; Adaptive algorithm; Algorithm design and analysis; Computational complexity; Convergence; High power amplifiers; Nonlinear distortion; Phase distortion; Power amplifiers; Predistortion; Telecommunications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-7663-3
Type :
conf
DOI :
10.1109/ICASSP.2003.1202402
Filename :
1202402
Link To Document :
بازگشت