Highly non‐linear and wide‐band mmWave active array OTA linearisation using neural network

Abstract This paper proposes a neural network (NN)‐based over‐the‐air (OTA) linearisation technique for a highly non‐linear and wide‐band mmWave active phased array (APA) transmitter and compares it with the conventional memory polynomial model (MPM)‐based technique. The proposed NN effectively lear...

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出版年:	IET Microwaves, Antennas & Propagation
主要な著者:	Feridoon Jalili, Yufeng Zhang, Markku Hintsala, Ole Kiel Jensen, Qingyue Chen, Ming Shen, Gert Frølund Pedersen
フォーマット:	論文
言語:	英語
出版事項:	Wiley 2022-01-01
主題:	5G mobile communication active antenna arrays learning (artificial intelligence) linearisation techniques millimetre wave amplifiers millimetre wave antenna arrays
オンライン･アクセス:	https://doi.org/10.1049/mia2.12220