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GuanRunwei / rd_map_temporal_spatial_denoising_autoencoder

A temporal-spatial fusion denoising autoencoder for radar range-doppler map
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Radar-STDA

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

Interference mitigation example 1 Interference mitigation example 2 Interference mitigation example 2

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