Estimating the Magnitude and Phase of Automotive Radar Signals Under Multiple Interference Sources With Fully Convolutional Networks

Radar sensors are gradually becoming a wide-spread equipment for road vehicles, playing a crucial role in autonomous driving and road safety. The broad adoption of radar sensors increases the chance of interference among sensors from different vehicles, generating corrupted range profiles and range-...

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Auteurs principaux: Nicolae-Catalin Ristea, Andrei Anghel, Radu Tudor Ionescu
Format: article
Langue:EN
Publié: IEEE 2021
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Accès en ligne:https://doaj.org/article/ed52fac519074e77a4cb8fc081f2c27c
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