Radar-STDA

Radar-STDA: A High-Performance Spatial-Temporal Denoising Autoencoder for Interference Mitigation of FMCW Radars

Implementation

  open train.py -> change the variable data_path to your own path
  conda create -n radarstda
  conda activate radarstda
  pip install requirements.txt
  python train.py

Dataset

Baidu Cloud Disk password: pcy8

Extra data for training and test

You can concatenate the extrac data to Dataset to complete your training and test.

Baidu Cloud Disk password: sua5