TY - GEN
T1 - Physically-Derived 3-Box Power Amplifier Model
AU - Soleiman, Elias
AU - Pham, Dang Kin Germain
AU - Jabbour, Chadi
AU - Desgreys, Patricia
AU - Kamarei, Mahmoud
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6/1
Y1 - 2019/6/1
N2 - In this work, a novel approach to reduce the complexity of memory polynomial model is presented. The proposed technique, named the coefficient decomposition (CD) technique, is based on reducing the search space for the memory polynomial coefficients based on memory effects generation mechanism. In this paper, the technique is demonstrated for power amplifier of classes A and AB. In this case, the physical analysis shows that the conventional two-dimensional coefficient architecture of the memory polynomial could be simplified into a one dimensional architecture while keeping almost the same accuracy. The performance of the proposed approach is demonstrated and compared with other models using a 30 dBm commercial power amplifier with 20 MHz and 60 MHz LTE signals. The measurements and simulations showed that, the presented model achieves -34.2 dB of NMSE while needing only 13 coefficients compared with 25 needed for a memory polynomial model. Also, the DPD performance of the proposed model is the same as memory polynomial model and comparable with high complexity models like the PLUME and GMP.
AB - In this work, a novel approach to reduce the complexity of memory polynomial model is presented. The proposed technique, named the coefficient decomposition (CD) technique, is based on reducing the search space for the memory polynomial coefficients based on memory effects generation mechanism. In this paper, the technique is demonstrated for power amplifier of classes A and AB. In this case, the physical analysis shows that the conventional two-dimensional coefficient architecture of the memory polynomial could be simplified into a one dimensional architecture while keeping almost the same accuracy. The performance of the proposed approach is demonstrated and compared with other models using a 30 dBm commercial power amplifier with 20 MHz and 60 MHz LTE signals. The measurements and simulations showed that, the presented model achieves -34.2 dB of NMSE while needing only 13 coefficients compared with 25 needed for a memory polynomial model. Also, the DPD performance of the proposed model is the same as memory polynomial model and comparable with high complexity models like the PLUME and GMP.
KW - Memory Polynomial (MP)
KW - PA behavioral model
KW - Volterra series models
UR - https://www.scopus.com/pages/publications/85078931156
U2 - 10.1109/NEWCAS44328.2019.8961231
DO - 10.1109/NEWCAS44328.2019.8961231
M3 - Conference contribution
AN - SCOPUS:85078931156
T3 - 17th IEEE International New Circuits and Systems Conference, NEWCAS 2019
BT - 17th IEEE International New Circuits and Systems Conference, NEWCAS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE International New Circuits and Systems Conference, NEWCAS 2019
Y2 - 23 June 2019 through 26 June 2019
ER -