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Authors: Giovanni Donati ; Christian Musolff ; Giuseppe Gottardo ; Daniel Popp and Georg Fischer

Affiliation: Friedrich Alexander University of Erlangen-Nuremberg, Germany

Keyword(s): Digital Signal Processing, Digital Predistortion, Dual Input Doherty, Power Amplifiers

Abstract: A novel approach for the linearization of dual input Doherty power amplifier (DPA) is derived by taking inspiration from the operation of the device. A new point of view is evaluated and an automatic identification procedure is developed, reducing the complexity of the predistorter, improving linearity and efficiency at the same time and avoiding the usage of crest factor reduction (CFR). It is also emphasized the importance of a power dependent phase relationship between the inputs of the dual input DPA. A validation of the theory is performed by means of a MATLAB/ADS envelope co-simulation.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Donati, G.; Musolff, C.; Gottardo, G.; Popp, D. and Fischer, G. (2016). Physically Inspired Digital Predistortion for Dual Input Doherty Power Amplifiers and Automatic in-Situ Identification. In Proceedings of the Fifth International Conference on Telecommunications and Remote Sensing - ICTRS; ISBN 978-989-758-200-4, SciTePress, pages 53-60. DOI: 10.5220/0006227100530060

@conference{ictrs16,
author={Giovanni Donati. and Christian Musolff. and Giuseppe Gottardo. and Daniel Popp. and Georg Fischer.},
title={Physically Inspired Digital Predistortion for Dual Input Doherty Power Amplifiers and Automatic in-Situ Identification},
booktitle={Proceedings of the Fifth International Conference on Telecommunications and Remote Sensing - ICTRS},
year={2016},
pages={53-60},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006227100530060},
isbn={978-989-758-200-4},
}

TY - CONF

JO - Proceedings of the Fifth International Conference on Telecommunications and Remote Sensing - ICTRS
TI - Physically Inspired Digital Predistortion for Dual Input Doherty Power Amplifiers and Automatic in-Situ Identification
SN - 978-989-758-200-4
AU - Donati, G.
AU - Musolff, C.
AU - Gottardo, G.
AU - Popp, D.
AU - Fischer, G.
PY - 2016
SP - 53
EP - 60
DO - 10.5220/0006227100530060
PB - SciTePress