AI-Augmented Multi Function Radar Engineering with Digital Twin: Towards Proactivity

@article{Klein2020AIAugmentedMF,
  title={AI-Augmented Multi Function Radar Engineering with Digital Twin: Towards Proactivity},
  author={Mathieu Klein and Thomas Carpentier and Eric Jeanclaude and Rami Kassab and Konstantinos Varelas and Nico de Bruijn and Fr{\'e}d{\'e}ric Barbaresco and Yann Briheche and Yann Semet and Florence Aligne},
  journal={2020 IEEE Radar Conference (RadarConf20)},
  year={2020},
  pages={1-6}
}
Thales new generation digital multi-missions radars, fully-digital and software-defined, like the Sea Fire and Ground Fire radars, benefit from a considerable increase of accessible degrees of freedoms to optimally design their operational modes. To effectively leverage these design choices and turn them into operational capabilities, it is necessary to develop new engineering tools, using artificial intelligence. Innovative optimization algorithms in the discrete and continuous domains… 

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