Radar Micro‐Doppler Signature Generation Based on Time‐Domain Digital Coding Metasurface
Autor: | Si Ran Wang, Jun Yan Dai, Jun Chen Ke, Zhan Ye Chen, Qun Yan Zhou, Zhen Jie Qi, Ying Juan Lu, Yan Huang, Meng Ke Sun, Qiang Cheng, Tie Jun Cui |
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Jazyk: | angličtina |
Rok vydání: | 2024 |
Předmět: | |
Zdroj: | Advanced Science, Vol 11, Iss 19, Pp n/a-n/a (2024) |
Druh dokumentu: | article |
ISSN: | 2198-3844 27295095 |
DOI: | 10.1002/advs.202306850 |
Popis: | Abstract 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. |
Databáze: | Directory of Open Access Journals |
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