Open AccessJoint mitigation of nonlinearity and modulator imperfections in dual‐band concurrent transmitter using neural networks
Author(s) -
Rawat M.,
Rawat K.,
Younes M.,
Ghannouchi F.
Publication year - 2013
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2012.3671
Subject(s) - joint (building) , transmitter , electronic engineering , modulation (music) , nonlinear system , dual (grammatical number) , radio transmitter design , artificial neural network , computer science , telecommunications , physics , engineering , acoustics , artificial intelligence , channel (broadcasting) , quantum mechanics , architectural engineering , art , literature
Reported, for the first time is a predistortion scheme for a concurrent dual‐band transmitter with a dual‐band concurrent Doherty power amplifier in the presence of modulator I/Q imbalance and DC offsets. Inverse PA modelling for predistortion is achieved using real valued time delayed neural networks. The model has been validated for a 10 W GaN based dual‐band concurrent Doherty power amplifier for wideband code division multiple access signals at 1960 and 3500 MHz, respectively, and an adjacent channel power ratio improvement of 18 dB is reported.