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Angle-Equivariant Convolutional Neural Networks for Interference Mitigation in Automotive Radar.
Christian Oswald
Máté Toth
Paul Meissner
Franz Pernkopf
Published in:
CoRR (2024)
Keyphrases
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convolutional neural networks
received signal
convolutional network
automotive industry
signal processing
risk management
radar images
signal to noise ratio
radar data
radar signal
neural network
rotation invariant
target recognition