Weight divided adaptive control method for a microwave FeedForward Power Amplifier (FFPA) is presented. In this adaptive controller, an output signal of a power amplifier is used as reference signal. Additionally, reference signal is divided by the weight of adaptive filter, so that characteristics of the power amplifier, such as temperature dependence, do not have influence on the convergence performances. The proposed adaptive algorithm and the convergence condition are derived analytically and we clarify that the proposed weight divided adaptive algorithm is more stable than the conventional Normalized Least Mean Square (NLMS) algorithm. Then, the convergence condition considering phase calibration error is discussed. The effectiveness of the proposed algorithm are also verified by the nonlinear simulations of the FFPA having AM-AM and AM-PM nonlinearity of GaAsFET.
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Kenichi HORIGUCHI, Atsushi OKAMURA, Masatoshi NAKAYAMA, Yukio IKEDA, Tadashi TAKAGI, Osami ISHIDA, "Feedforward Power Amplifier Control Method Using Weight Divided Adaptive Algorithm" in IEICE TRANSACTIONS on Electronics,
vol. E86-C, no. 8, pp. 1494-1500, August 2003, doi: .
Abstract: Weight divided adaptive control method for a microwave FeedForward Power Amplifier (FFPA) is presented. In this adaptive controller, an output signal of a power amplifier is used as reference signal. Additionally, reference signal is divided by the weight of adaptive filter, so that characteristics of the power amplifier, such as temperature dependence, do not have influence on the convergence performances. The proposed adaptive algorithm and the convergence condition are derived analytically and we clarify that the proposed weight divided adaptive algorithm is more stable than the conventional Normalized Least Mean Square (NLMS) algorithm. Then, the convergence condition considering phase calibration error is discussed. The effectiveness of the proposed algorithm are also verified by the nonlinear simulations of the FFPA having AM-AM and AM-PM nonlinearity of GaAsFET.
URL: https://globals.ieice.org/en_transactions/electronics/10.1587/e86-c_8_1494/_p
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@ARTICLE{e86-c_8_1494,
author={Kenichi HORIGUCHI, Atsushi OKAMURA, Masatoshi NAKAYAMA, Yukio IKEDA, Tadashi TAKAGI, Osami ISHIDA, },
journal={IEICE TRANSACTIONS on Electronics},
title={Feedforward Power Amplifier Control Method Using Weight Divided Adaptive Algorithm},
year={2003},
volume={E86-C},
number={8},
pages={1494-1500},
abstract={Weight divided adaptive control method for a microwave FeedForward Power Amplifier (FFPA) is presented. In this adaptive controller, an output signal of a power amplifier is used as reference signal. Additionally, reference signal is divided by the weight of adaptive filter, so that characteristics of the power amplifier, such as temperature dependence, do not have influence on the convergence performances. The proposed adaptive algorithm and the convergence condition are derived analytically and we clarify that the proposed weight divided adaptive algorithm is more stable than the conventional Normalized Least Mean Square (NLMS) algorithm. Then, the convergence condition considering phase calibration error is discussed. The effectiveness of the proposed algorithm are also verified by the nonlinear simulations of the FFPA having AM-AM and AM-PM nonlinearity of GaAsFET.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Feedforward Power Amplifier Control Method Using Weight Divided Adaptive Algorithm
T2 - IEICE TRANSACTIONS on Electronics
SP - 1494
EP - 1500
AU - Kenichi HORIGUCHI
AU - Atsushi OKAMURA
AU - Masatoshi NAKAYAMA
AU - Yukio IKEDA
AU - Tadashi TAKAGI
AU - Osami ISHIDA
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Electronics
SN -
VL - E86-C
IS - 8
JA - IEICE TRANSACTIONS on Electronics
Y1 - August 2003
AB - Weight divided adaptive control method for a microwave FeedForward Power Amplifier (FFPA) is presented. In this adaptive controller, an output signal of a power amplifier is used as reference signal. Additionally, reference signal is divided by the weight of adaptive filter, so that characteristics of the power amplifier, such as temperature dependence, do not have influence on the convergence performances. The proposed adaptive algorithm and the convergence condition are derived analytically and we clarify that the proposed weight divided adaptive algorithm is more stable than the conventional Normalized Least Mean Square (NLMS) algorithm. Then, the convergence condition considering phase calibration error is discussed. The effectiveness of the proposed algorithm are also verified by the nonlinear simulations of the FFPA having AM-AM and AM-PM nonlinearity of GaAsFET.
ER -