Phase-Normalized Neural Network for Linearization of RF Power Amplifiers

Author:

Fischer-Bühner Arne1ORCID,Anttila Lauri2ORCID,Gomony Manil Dev1ORCID,Valkama Mikko2ORCID

Affiliation:

1. Nokia Bell Labs, Antwerp, Belgium

2. Department of Electrical Engineering, Tampere University, Tampere, Finland

Funder

European Union’s Horizon 2020 Research and Innovation Program under the Marie Sklodowska-Curie

Academy of Finland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Recursive Neural Network With Phase-Normalization for Modeling and Linearization of RF Power Amplifiers;IEEE Microwave and Wireless Technology Letters;2024-06

2. Walsh-domain Neural Network for Power Amplifier Behavioral Modelling and Digital Predistortion;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

3. GPU versus FPGA implementation of a digital predistortion linearizer for wideband radiofrequency power amplifiers;AEU - International Journal of Electronics and Communications;2024-01

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