Structureless modeling of power amplifiers accounting for inertial properties
DOI:
https://doi.org/10.3103/S0735272713010056Abstract
The paper considers various structureless inertial non-linear models of power amplifiers and methods of their identification. Based on polynomial model with memory and Volterra model the influence of different kinds of input signals, their bandwidth and average power on precision of power amplifier modeling and complexity of model implementation.
References
ISAKSSON, M.; WISELL, D.; RONNOW, D., A comparative analysis of behavioral models for RF power amplifiers. IEEE Trans. Microwave Theory Tech., v.54, n.1, p.348-359, 2006.
KIM, J. AND KONSTANTINOU, K., Digital predistortion of wideband signals based on power amplifier model with memory. Electron. Lett., v.37, n.6, p.1417-1418, 2001.
PEDRO, J.C. AND MAAS, S.A., Comparative overview of microwave and wireless power-amplifier behavioral modeling approaches. IEEE Trans. Microwave Theory Tech., v.53, n.4, p.1150-1163, 2005.
ZHU, A. AND BRAZIL, T.J., An overview of Volterra series based behavioral modeling of RF/microwave power amplifiers. Proc. Wireless Microwave Technol. Conf., p.1–5, 2006.
MORGAN, D.R. et al., A generalized memory polynomial model for digital predistortion of RF power amplifiers. IEEE Trans. Signal Process., v.54, n.10, p.3852-3860, 2006.
ZHU, A.; PEDRO, J.C.; BRAZIL, T.J., Dynamic deviation reduction-based Volterra behavioral modeling of RF power amplifiers. IEEE Trans. Microwave Theory Tech., v.54, n.12, p.4323-4332, 2006.
KOROTKOV, A.S. AND RUMIANTSEV, I.A., Functional models of power amplifier with memory effect. Nauchno-tehnicheskiye vedomosti SPbGPU. Informatika. Telekommunikatsii. Upravleniye, n.5, p.50-54, 2012.
SOLOVYOVA, YE.B., Macromodeling of Non-Linear Circuits and Operand Synthesis. St. Petersburg: SPbGETU LETI, 2010. 190 p. [in Russian].
ALBERT, A., Regression and the Moore-Penrose Pseudoinverse. Academic Press, 1972. 223 p.
