MILA - A noise mitigation technique for RF power amplifier linearization
Paper in proceedings, 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 and Antenna Systems, Communication Systems

Annika Mayer

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Thomas Eriksson

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

2014 IEEE 11th International Multi-Conference on Systems, Signals and Devices, SSD 2014

6808874

Subject Categories

Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/SSD.2014.6808874

ISBN

978-1-4799-3866-7

More information

Latest update

11/29/2018