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...

Full description

Bibliographic Details

Published in:	IET Microwaves, Antennas & Propagation
Main Authors:	Feridoon Jalili, Yufeng Zhang, Markku Hintsala, Ole Kiel Jensen, Qingyue Chen, Ming Shen, Gert Frølund Pedersen
Format:	Article
Language:	English
Published:	Wiley 2022-01-01
Subjects:	5G mobile communication active antenna arrays learning (artificial intelligence) linearisation techniques millimetre wave amplifiers millimetre wave antenna arrays
Online Access:	https://doi.org/10.1049/mia2.12220