Complexity Optimized Digital Predistortion Model of RF Power Amplifiers
Artikel i vetenskaplig tidskrift, 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
Författare
Wenhui Cao
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Siqi Wang
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Per Landin
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Christian Fager
Chalmers, Mikroteknologi och nanovetenskap, Mikrovågselektronik
Thomas Eriksson
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
IEEE Transactions on Microwave Theory and Techniques
0018-9480 (ISSN) 15579670 (eISSN)
Vol. 70 3 1490-1499Ämneskategorier
Bioinformatik (beräkningsbiologi)
Reglerteknik
Annan elektroteknik och elektronik
DOI
10.1109/TMTT.2021.3122956