TY - CONF
T1 - Behavioral modeling and predistortion of nonlinear power amplifiers based on adaptive filtering techniques
AU - Zerguine, Azzedine
AU - Hammi, Oualid
AU - Abdelhafiz, Abubakr H.
AU - Helaoui, Mohammed
AU - Ghannouchi, Fadhel
PY - 2014
Y1 - 2014
N2 - In this paper, the use of some of the most popular adaptive filtering algorithms for the purpose of linearizing power amplifiers by the well-known digital predistortion (DPD) technique is investigated. First, an introduction to the problem of power amplifier linearization is given, followed by a discussion of the model used for this purpose. Next, a variety of adaptive algorithms are used to construct the digital predistorter function for a highly nonlinear power amplifier and their performance is comparatively analyzed. Based on the simulations presented in this paper, conclusions regarding the choice of algorithm are derived.
AB - In this paper, the use of some of the most popular adaptive filtering algorithms for the purpose of linearizing power amplifiers by the well-known digital predistortion (DPD) technique is investigated. First, an introduction to the problem of power amplifier linearization is given, followed by a discussion of the model used for this purpose. Next, a variety of adaptive algorithms are used to construct the digital predistorter function for a highly nonlinear power amplifier and their performance is comparatively analyzed. Based on the simulations presented in this paper, conclusions regarding the choice of algorithm are derived.
KW - Adaptive filtering
KW - behavioral modeling
KW - nonlinear system identification
KW - power amplifier nonlinearities
UR - http://www.scopus.com/inward/record.url?scp=84901341137&partnerID=8YFLogxK
U2 - 10.1109/SSD.2014.6808909
DO - 10.1109/SSD.2014.6808909
M3 - Paper
AN - SCOPUS:84901341137
ER -