Digital Predistortion Parameter Identification for RF Power Amplifiers Using Real-Valued Output Data
Journal article, 2017
This brief presents a novel digital predistortion (DPD) parameter identification technique that requires only the acquisition of either the in-phase (I) or the quadrature (Q) component of the power amplifier (PA) output signal. To this end, an approach that allows us to estimate the parameters of a model using only one of the IQ components of the model output is presented. Based on experimental results, it is shown that the proposed real-valued measurements based technique can offer similar linearization capabilities as its complex-valued counterparts. The experimental results also indicate that the proposed technique can be used in combination with other techniques that focus on reducing the speed of analog-to-digital converters (ADCs)
digital predistortion
Iterative learning control
Semiconductor device measurement
power amplifier
iterative learning control
Circuits and systems
least squares approximation
Receivers
Analog-to-digital converter
Parameter estimation
nonlinear distortion
Predistortion
Bandwidth
Author
Jessica Chani Cahuana
Chalmers, Signals and Systems, Communication, Antennas and Optical Networks
GigaHertz Centre
Thomas Eriksson
GigaHertz Centre
Chalmers, Signals and Systems, Communication, Antennas and Optical Networks
Christian Fager
Chalmers, Microtechnology and Nanoscience (MC2), Microwave Electronics
GigaHertz Centre
MUSTAFA ÖZEN
GigaHertz Centre
Chalmers, Microtechnology and Nanoscience (MC2), Microwave Electronics
IEEE Transactions on Circuits and Systems II: Express Briefs
1549-7747 (ISSN) 1558-3791 (eISSN)
Vol. 64 10 1227-1231 7885077Areas of Advance
Information and Communication Technology
Subject Categories
Telecommunications
Communication Systems
Signal Processing
Other Electrical Engineering, Electronic Engineering, Information Engineering
DOI
10.1109/TCSII.2017.2686004