TY - GEN
T1 - Two-Step Simulation Scheme of Power Amplifiers for Digital Predistortion Assessment in 5G Systems
AU - Pedrosa, Carolina
AU - Almairac, Pierre
AU - Rashev, Peter
AU - Dang-Kien, Germain Pham
AU - Bachi, Joe
AU - Desgreys, Patricia
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - Digital Predistortion (DPD) is a powerful technique for enhancing the linearity of RF Power Amplifiers (PAs) and decreasing distortion effects within communication channels. This paper proposes a new methodology to better predict final Adjacent Channel Leakage Ratio (ACLR) after linearization, giving insight into the PA behavior in DPD. The presented methodology is called Two-Step simulation and employs an adaptive modeling system derived from closed-loop DPD static polynomial systems, enabling PA designers to compare results across various DPD configurations. This approach is faster than a hardware setup and reduces the risk of damaging new PAs due to diverging DPD configurations. The methodology was validated through simulations and measurements of a PA board with a 5G New Radio 100 MHz signal with 8.5 dB Peak-to-A verage Power Ration and centered at 2.6 GHz, which showed an increase in the prediction accuracy of final ACLR, DPD configuration degradation and spectral asymmetries for all tested DPD configurations.
AB - Digital Predistortion (DPD) is a powerful technique for enhancing the linearity of RF Power Amplifiers (PAs) and decreasing distortion effects within communication channels. This paper proposes a new methodology to better predict final Adjacent Channel Leakage Ratio (ACLR) after linearization, giving insight into the PA behavior in DPD. The presented methodology is called Two-Step simulation and employs an adaptive modeling system derived from closed-loop DPD static polynomial systems, enabling PA designers to compare results across various DPD configurations. This approach is faster than a hardware setup and reduces the risk of damaging new PAs due to diverging DPD configurations. The methodology was validated through simulations and measurements of a PA board with a 5G New Radio 100 MHz signal with 8.5 dB Peak-to-A verage Power Ration and centered at 2.6 GHz, which showed an increase in the prediction accuracy of final ACLR, DPD configuration degradation and spectral asymmetries for all tested DPD configurations.
KW - ACLR prediction
KW - digital predistortion
KW - generalized memory polynomial
KW - linearizability prediction
KW - nonlinear analysis
KW - power amplifier (PA)
KW - simulated DPD
U2 - 10.1109/NewCAS58973.2024.10666301
DO - 10.1109/NewCAS58973.2024.10666301
M3 - Conference contribution
AN - SCOPUS:85205661683
T3 - 2024 22nd IEEE Interregional NEWCAS Conference, NEWCAS 2024
SP - 35
EP - 39
BT - 2024 22nd IEEE Interregional NEWCAS Conference, NEWCAS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd IEEE Interregional NEWCAS Conference, NEWCAS 2024
Y2 - 16 June 2024 through 19 June 2024
ER -