DeepAoANet: Learning angle of arrival from software defined radios with deep neural networks

DeepAoANet: Learning angle of arrival from software defined radios with deep neural networks

Direction finding and positioning systems based on RF signals are significantly impacted by multipath propagation, particularly in indoor environments. Existing algorithms (e.g MUSIC) perform poorly in resolving Angle of Arrival (AoA) in the presence of multipath or when operating in a weak signal r...

Полное описание

Библиографические подробности
Главные авторы:	Dai, Z, He, Y, Tran, V, Trigoni, N, Markham, A
Формат:	Journal article
Язык:	English
Опубликовано:	IEEE 2022

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