A Scalable Bandwidth and Frequency-Dependent DPD Linearizer for User Equipment Power Amplifiers With Nonflat Frequency Response

A Scalable Bandwidth and Frequency-Dependent DPD Linearizer for User Equipment Power Amplifiers With Nonflat Frequency Response

Abstract
DOI: 10.1109/TMTT.2023.3324445   IEEEXplore: https://ieeexplore.ieee.org/document/10294262
Device
Scalable bandwidth and frequency-dependent digital predistortion (DPD) linearizer based on an incremental bandwidth frequency dependent (IBWFD) generalized memory polynomial (GMP) behavioral model.
Spectrum
5G sub-6 GHz spectrum (approach is not intrinsically frequency specific)
Novelty
The behavioral model applies the doubly orthogonal matching pursuit (DOMP) greedy algorithm and resource economy strategies such as a regretting process to be used to configure the linearizer with simpler algorithms and a smaller number of algorithm coefficients to compute.
Application
Significantly improves performance of simpler, less costly non-flat PA designs for modern for 5G and beyond user equipment.
Performance
Adjacent channel power ratio (ACPR) improved about 6 dB; Normalized mean square error (NMSE) improved more than 20 dB.