@inproceedings{46493eabe41a4c6a9d9d31519415ad36,
title = "A power amplifier linearization method for TETRA based on ANN digital predistorter",
abstract = "Baseband digital predistorters (DPDs) are used in wireless communication systems to linearize RF high power amplifiers (HPAs). Traditional digital predistorters based on look-up table (LUT) and polynomial (POLY) either bring in quantization noise or cost large amount of computational resources. In this paper, a baseband digital predistorter based on artificial neural network (ANN) is proposed for terrestrial trunked radio (TETRA). Simulations show that the linearization performance of the proposed DPD is better than the LUT based DPD and the POLY based DPD, and it costs less resources, which means it can be easily implemented.",
keywords = "ANN, TETRA, digital predistorter, power amplifier linearization",
author = "Le Ying and Qin Zhang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 9th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2019 ; Conference date: 12-07-2019 Through 14-07-2019",
year = "2019",
month = jul,
doi = "10.1109/ICEIEC.2019.8784459",
language = "English",
series = "ICEIEC 2019 - Proceedings of 2019 IEEE 9th International Conference on Electronics Information and Emergency Communication",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "395--399",
editor = "Wenzheng Li and Guomin Zuo",
booktitle = "ICEIEC 2019 - Proceedings of 2019 IEEE 9th International Conference on Electronics Information and Emergency Communication",
address = "United States",
}