Title :
A model inverse method for memory polynomial model of power amplifiers
Author :
Liang Jia ; Songbai He ; Fei You
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
A new behavioral model inverse method for memory polynomial (MP) model is proposed in this paper. It is effective in determining the parameters of Digital Pre-distorter (DPD). Although the indirect learning scheme is widely implemented to do this job, it is sensitive to the measurement noise and causes a bias in DPD coefficients estimation. The proposed method is a pre-inverse one which can avoid the measurement noise weighting during DPD coefficients estimation. Numerical simulation results show a 20dB improvement in Adjacent Channel Power Ratio (ACPR) of the proposed method compared to that of the well-known indirect learning scheme.
Keywords :
estimation theory; numerical analysis; polynomial approximation; power amplifiers; ACPR; DPD coefficients estimation; adjacent channel power ratio; behavioral model inverse method; digital predistorter; indirect learning; measurement noise; memory polynomial model; numerical simulation; power amplifiers; Accuracy; Baseband; Computational modeling; Inverse problems; Mathematical model; Numerical models; Predistortion;
Conference_Titel :
Communications, Circuits and Systems (ICCCAS), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-3050-0
DOI :
10.1109/ICCCAS.2013.6765249
