Complexity Optimized Digital Predistortion Model of RF Power Amplifiers
Journal article, 2022
A novel behavioral modeling technique for digital predistortion of radio frequency power amplifiers (PAs) is proposed. The proposed basis-propagating selection (BAPS) model has an advantage on complexity since its basis functions are constructed as delay or a combination of existing basis functions. The BAPS model effectively optimizes the running time complexity while maintaining the generality of a full Volterra series. A greedy search procedure is applied to select the optimal basis functions. Compared with truncated Volterra models and pruned models obtained by popular pruning techniques, the superior performance of the BAPS model, in terms of accuracy and identification stability, has been fairly justified. The linearization measurements on different types of PAs illustrate that the BAPS model can robustly outperform other models from literature while achieving a low running complexity.
Radio frequency
power amplifiers (PA).
Basis-propagating selection (BAPS)
Costs
Complexity theory
Predistortion
modeling and/or linearization techniques
Delays
digital predistortion (DPD)
low-cost complexity
Adaptation models
greedy algorithm
Predictive models
Author
Wenhui Cao
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Siqi Wang
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Per Landin
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Christian Fager
Chalmers, Microtechnology and Nanoscience (MC2), Microwave Electronics
Thomas Eriksson
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
IEEE Transactions on Microwave Theory and Techniques
0018-9480 (ISSN) 15579670 (eISSN)
Vol. 70 3 1490-1499Subject Categories
Bioinformatics (Computational Biology)
Control Engineering
Other Electrical Engineering, Electronic Engineering, Information Engineering
DOI
10.1109/TMTT.2021.3122956