TY - GEN
T1 - Low-Complexity Pseudo Direct Learning Digital Pre-Distortion Architecture for Nonlinearity and Memory Effect of Power Amplifier in mmWave Baseband Transmitter
AU - Lu, Shen Zhe
AU - Xue, Nai Cheng
AU - Liu, Hung Chih
AU - Jen, Chih-Wei
AU - Jou, Shyh Jye
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In this paper, we design a power amplifier (PA) digital pre-distortion (DPD) module at the baseband transmitter to pre-compensate the nonlinearity and memory effect of the PA. In terms of DPD, we propose a low-complexity pseudo direct learning (PDL) DPD architecture based on the system level point of view according to the IEEE 802.11ad/ay specifications. The compensated error vector magnitude (EVM) performance of nonlinearity and memory effects can be improved from-12.8 dB to-21.7 dB at 16-QAM mode. The gain flatness of the-3 dB bandwidth can be extended from 0.3pi to 0.78pi with improving of 2.6 times. For the hardware implementation, we use TSMC 28-nm HPC_PLUS CMOS technology with four times parallelism to achieve 2.5 GHz chip rate. The gate counts and power of the proposed DPD design are 273.1 K and 98.0 mW, respectively.
AB - In this paper, we design a power amplifier (PA) digital pre-distortion (DPD) module at the baseband transmitter to pre-compensate the nonlinearity and memory effect of the PA. In terms of DPD, we propose a low-complexity pseudo direct learning (PDL) DPD architecture based on the system level point of view according to the IEEE 802.11ad/ay specifications. The compensated error vector magnitude (EVM) performance of nonlinearity and memory effects can be improved from-12.8 dB to-21.7 dB at 16-QAM mode. The gain flatness of the-3 dB bandwidth can be extended from 0.3pi to 0.78pi with improving of 2.6 times. For the hardware implementation, we use TSMC 28-nm HPC_PLUS CMOS technology with four times parallelism to achieve 2.5 GHz chip rate. The gate counts and power of the proposed DPD design are 273.1 K and 98.0 mW, respectively.
KW - digital pre-distortion
KW - error vector magnitude
KW - power amplifier
KW - pseudo direct learning
UR - http://www.scopus.com/inward/record.url?scp=85142481693&partnerID=8YFLogxK
U2 - 10.1109/ISCAS48785.2022.9937637
DO - 10.1109/ISCAS48785.2022.9937637
M3 - Conference contribution
AN - SCOPUS:85142481693
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 1541
EP - 1545
BT - IEEE International Symposium on Circuits and Systems, ISCAS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Symposium on Circuits and Systems, ISCAS 2022
Y2 - 27 May 2022 through 1 June 2022
ER -