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Radar Micro-Doppler Signature Generation Based on Time-Domain Digital Coding Metasurface.

Si Ran WangJun Yan DaiJun Chen KeZhan Ye ChenQun Yan ZhouZhen Jie QiYing Juan LuYan HuangMeng Ke SunQiang ChengTie Jun Cui
Published in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2024)
Micro-Doppler effect is a vital feature of a target that reflects its oscillatory motions apart from bulk motion and provides an important evidence for target recognition with radars. However, establishing the micro-Doppler database poses a great challenge, since plenty of experiments are required to get the micro-Doppler signatures of different targets for the purpose of analyses and interpretations with radars, which are dramatically limited by high cost and time-consuming. Aiming to overcome these limits, a low-cost and powerful simulation platform of the micro-Doppler effects is proposed based on time-domain digital coding metasurface (TDCM). Owing to the outstanding capabilities of TDCM in generating and manipulating nonlinear harmonics during wave-matter interactions, it enables to supply rich and high-precision electromagnetic signals with multiple micro-Doppler frequencies to describe the micro-motions of different objects, which are especially favored for the training of artificial intelligence algorithms in automatic target recognition and benefit a host of applications like imaging and biosensing.
Keyphrases
  • artificial intelligence
  • machine learning
  • blood flow
  • deep learning
  • low cost
  • high frequency
  • genome wide
  • label free
  • fluorescence imaging