Radar-Stda: A High-Performance Spatial-Temporal Denoising Autoencoder for Interference Mitigation of Fmcw Radars

Author:

Liu Lulu,Guan Runwei,Ma Fei,Man Ka Lok,Yue Yutao

Publisher

Elsevier BV

Reference32 articles.

1. Robust detection and tracking method for moving object based on radar and camera data fusion;J Bai;IEEE Sensors Journal,2021

2. Complexvalued convolutional neural networks for enhanced radar signal denoising and interference mitigation;A Fuchs;2021 IEEE Radar Conference,2021

3. Automotive radar interference mitigation using a sparse sampling approach;J Bechter;2017 European Radar Conference (EURAD),2017

4. Threshold-free interference cancellation method for automotive fmcw radar systems;M Wagner;2018 IEEE International Symposium on Circuits and Systems (ISCAS),2018

5. Iterative 2d sparse signal reconstruction with masked residual updates for automotive radar interference mitigation;S Chen;EURASIP Journal on Advances in Signal Processing,2022

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