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Automotive Radar Interference Mitigation With Unfolded Robust PCA Based on Residual Overcomplete Auto-Encoder Blocks.

CVPR Workshops, pp.3209-3214, (2021)

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Abstract

Deep learning methods for automotive radar interference mitigation can succesfully estimate the amplitude of targets, but fail to recover the phase of the respective targets. In this paper, we propose an efficient and effective technique based on unfolded robust Principal Component Analysis (RPCA) that is able to estimate both amplitude...More

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Author
Nicolae-Cătălin Ristea
Nicolae-Cătălin Ristea
Andrei Anghel
Andrei Anghel
Radu Tudor Ionescu
Radu Tudor Ionescu
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