TY - JOUR
T1 - Novel Data Pre-Distorter for APSK Signals in Solid-State Power Amplifiers
AU - Sánchez, María Jesús Cañavate
AU - Segneri, Andrea
AU - Kosmopoulos, Savvas A.
AU - Zhu, Qiuming
AU - Tsiftsis, Theodoros A.
AU - Georgiadis, Apostolos
AU - Goussetis, George
N1 - Funding Information:
Manuscript received September 25, 2018; revised March 25, 2019 and April 26, 2019; accepted May 30, 2019. Date of publication June 18, 2019; date of current version September 27, 2019. This work was supported in part by the European Commission funded Project Radio Technologies for Broadband mm-wave Satellite Communication Systems (DORADA) under Grant 610691, in part by the COST Action IC1301 WiPE Wireless Power Transmission for Sustainable Electronics, and in part by the Engineering and Physical Sciences Research Council (EPSRC) under Grant EP/P025129/1. This paper was recommended by Associate Editor Z. Wang. (Corresponding author: María Jesús Cañavate Sánchez.) M. J. Cañavate Sánchez, S. A. Kosmopoulos, A. Georgiadis, and G. Goussetis are with the Institute of Sensors, Signals and Systems, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh Campus, Edinburgh EH14 4AS, U.K. (e-mail: mjc31@hw.ac.uk; s.kosmopoulos@hw.ac.uk; a.georgiadis@hw.ac.uk; g.goussetis@hw.ac.uk).
PY - 2019/10
Y1 - 2019/10
N2 - A computationally efficient data pre-distorter suitable for the 16 amplitude and phase-shift keying (APSK) constellation transmitted through a memoryless non-linear power amplifier is introduced. The proposed method is based on estimating the optimum value of the ring ratio that enables compensation for the power amplifier (PA) distortion occurring at each input back-off (IBO) level of a memoryless behavioral model. Previous results for data pre-distortion rely on iterative numerical optimization techniques which require increased computational resources. Instead, the proposed approach is numerically efficient and further provides insight on the generation of non-linear distortion. Computed and measured bit-error rate (BER) results for 16-APSK in additive white Gaussian noise (AWGN) channel and the presence of a PA are presented to prove the validity of the method. The performance evaluation of the pre-distorter based on a measured non-linear characteristic of a commercial power amplifier showed a BER reduction of up to four orders of magnitude at low IBO levels.
AB - A computationally efficient data pre-distorter suitable for the 16 amplitude and phase-shift keying (APSK) constellation transmitted through a memoryless non-linear power amplifier is introduced. The proposed method is based on estimating the optimum value of the ring ratio that enables compensation for the power amplifier (PA) distortion occurring at each input back-off (IBO) level of a memoryless behavioral model. Previous results for data pre-distortion rely on iterative numerical optimization techniques which require increased computational resources. Instead, the proposed approach is numerically efficient and further provides insight on the generation of non-linear distortion. Computed and measured bit-error rate (BER) results for 16-APSK in additive white Gaussian noise (AWGN) channel and the presence of a PA are presented to prove the validity of the method. The performance evaluation of the pre-distorter based on a measured non-linear characteristic of a commercial power amplifier showed a BER reduction of up to four orders of magnitude at low IBO levels.
KW - APSK modulation
KW - data pre-distortion
KW - non-linearities
KW - power amplifier
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U2 - 10.1109/TCSI.2019.2921100
DO - 10.1109/TCSI.2019.2921100
M3 - Article
AN - SCOPUS:85072947612
VL - 66
SP - 4044
EP - 4054
JO - IEEE Transactions on Circuits and Systems II: Express Briefs
JF - IEEE Transactions on Circuits and Systems II: Express Briefs
SN - 1549-8328
IS - 10
M1 - 8738973
ER -