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


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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. A low-cost and high-flexible radar micro-Doppler signature generation platform is proposed based on metasurface. The presented metasurface contains time-varying modulation periods, thus capable of supplying the electromagnetic signals with designable micro-Doppler frequencies to describe micro-motions of different objects. The proposed method is especially favored for the training of AI algorithms and benefits a host of applications like imaging and biosensing. image
artificial intelligence (AI),micro-Doppler effect,radar,time-domain digital coding metasurface (TDCM)
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