Research Article
Linearizing RF Power Amplifiers Using Adaptive RPEM Algorithm
@INPROCEEDINGS{10.1007/978-3-030-30149-1_18, author={Han Duc and Minh Nguyen and Van-Phuc Hoang and Hien Nguyen and Duc Nguyen}, title={Linearizing RF Power Amplifiers Using Adaptive RPEM Algorithm}, proceedings={Industrial Networks and Intelligent Systems. 5th EAI International Conference, INISCOM 2019, Ho Chi Minh City, Vietnam, August 19, 2019, Proceedings}, proceedings_a={INISCOM}, year={2019}, month={9}, keywords={Power amplifier RPEM algorithm Linearizing}, doi={10.1007/978-3-030-30149-1_18} }- Han Duc
Minh Nguyen
Van-Phuc Hoang
Hien Nguyen
Duc Nguyen
Year: 2019
Linearizing RF Power Amplifiers Using Adaptive RPEM Algorithm
INISCOM
Springer
DOI: 10.1007/978-3-030-30149-1_18
Abstract
This paper proposes the adaptive indirect learning architecture (ILA) based digital predistortion (DPD) technique using a recursive prediction error minimization (RPEM) algorithm for linearizing radio frequency (RF) power amplifiers (PAs). The RPEM algorithm allows the forgetting factor to vary with time, which makes the predistorter (PD) parameter estimates more consistent and accurate in steady state, and hence reduces mean square errors. The proposed DPD technique is evaluated with respect to the error vector magnitude (EVM) and the adjacent channel power ratio (ACPR). The simulated PA Wiener model is used to validate the efficiency of the proposed algorithms. The simulation results have confirmed the improvement of the proposed adaptive RPEM ILA based DPD in terms of EVM and ACPR.
