Machine learning‐assisted direction‐of‐arrival accuracy enhancement technique using oversized lens‐loaded cavity

Abstract This paper presents a framework for achieving machine learning (ML)‐assisted direction‐of‐arrival (DoA) accuracy enhancement using a millimetre‐wave (mmWave) dynamic aperture. The technique used for the enhanced DoA estimation accuracy leverages an over‐sized lens‐loaded cavity antenna conn...

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Bibliographic Details

Published in:	IET Microwaves, Antennas & Propagation
Main Authors:	Muhammad Ali Babar Abbasi, Okan Yurduseven, Mobayode O. Akinsolu, Vincent F. Fusco, Bo Liu, Mohsen Khalily, Simon L. Cotton, Muhammad Ali Imran
Format:	Article
Language:	English
Published:	Wiley 2022-05-01
Subjects:	antennas B5G mobile communication channel estimation diversity reception lens antennas
Online Access:	https://doi.org/10.1049/mia2.12257