Self-Sensing Digital Predistortion of RF Power Amplifiers for 6G Intelligent Radio

The future intelligent communication systems will dynamically adjust the transmitted signal according to the radio environment and human behavior, which will lead to the rapid change of the characteristics of power amplifier (PA) and bring new challenges for digital predistortion (DPD). In this lett...

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Bibliographic Details
Published inIEEE microwave and wireless components letters Vol. 32; no. 5; pp. 475 - 478
Main Authors Yu, Yucheng, Cai, Jialin, Zhu, Xiao-Wei, Chen, Peng, Yu, Chao
Format Journal Article
LanguageEnglish
Published IEEE 01.05.2022
Subjects
Baseband
Complexity theory
Digital predistortion (DPD)
intelligent radio
Mathematical models
neural network
Neural networks
power amplifier (PA)
Predistortion
Sensors
Wireless sensor networks
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Summary:The future intelligent communication systems will dynamically adjust the transmitted signal according to the radio environment and human behavior, which will lead to the rapid change of the characteristics of power amplifier (PA) and bring new challenges for digital predistortion (DPD). In this letter, a novel self-sensing DPD (SS-DPD) technique is proposed to linearize PA driven by fast time-varied signals. By automatically sensing the features of input signal and integrating them into the neural network, the proposed model is capable of linearizing the PA operated in such time-varied scenarios without updating DPD coefficients. Furthermore, the polynomial basis functions are embedded into neural network to reduce the complexity. Experimental results on a Doherty PA driven by the fast time-varied signal show that the proposed method can achieve good performance constantly with low complexity.
ISSN:1531-1309
1558-1764
DOI:10.1109/LMWC.2021.3139018