A Paradigm Shift From an Experimental-Based to a Simulation-Based Framework Using Motion-Capture Driven MIMO Radar Data Synthesis. Waqar, S., Muaaz, M., Sigg, S., & Pätzold, M. IEEE Sensors Journal, 24(10):16614-16628, 2024.
doi  bibtex   
@ARTICLE{10500314,
  author={Waqar, Sahil and Muaaz, Muhammad and Sigg, Stephan and Pätzold, Matthias},
  journal={IEEE Sensors Journal}, 
  title={A Paradigm Shift From an Experimental-Based to a Simulation-Based Framework Using Motion-Capture Driven MIMO Radar Data Synthesis}, 
  year={2024},
  volume={24},
  number={10},
  pages={16614-16628},
  keywords={Radar;Human activity recognition;MIMO radar;Radar antennas;Sensors;MIMO;Trajectory;Motion capture;Virtual reality;Deep learning;Aspect angle;data augmentation;data synthesis;deep learning;distributed multiple-input multiple-output (MIMO) radar simulation;human activity recognition (HAR);micro-Doppler analysis;motion capture (MoCap);motion synthesis;multiclass classification;virtual reality},
  doi={10.1109/JSEN.2024.3386221}}

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