MILA - A noise mitigation technique for RF power amplifier linearization
Paper in proceeding, 2014
Standard indirect learning architecture (ILA) based methods for estimating the parameters in digital pre-distortion produce biased estimates of the parameters due to noise. This paper proposes using a direct model of the power amplifier to generate a noise-free estimate of the output signal and subsequently use this estimated signal to extract the parameters of the pre-distorter using the ILA. Measurement results shows that this technique improves the performance of the pre-distorter for all signal-to-noise ratios, but especially in the range of 20-30 dB signal-to-noise ratio.
Power amplifier
noise
predistortion
nonlinear distortion
Author
Per Landin
Chalmers, Signals and Systems, Communication, Antennas and Optical Networks
Annika Mayer
Chalmers, Signals and Systems, Communication, Antennas and Optical Networks
Thomas Eriksson
Chalmers, Signals and Systems, Communication, Antennas and Optical Networks
2014 IEEE 11th International Multi-Conference on Systems, Signals and Devices, SSD 2014
6808874
978-1-4799-3866-7 (ISBN)
Subject Categories
Electrical Engineering, Electronic Engineering, Information Engineering
DOI
10.1109/SSD.2014.6808874
ISBN
978-1-4799-3866-7