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

被引:6
|
作者
Wang, Si Ran [1 ,2 ,3 ]
Dai, Jun Yan [1 ,2 ,3 ]
Ke, Jun Chen [1 ,2 ,3 ]
Chen, Zhan Ye [1 ,2 ,3 ]
Zhou, Qun Yan [1 ,2 ,3 ]
Qi, Zhen Jie [1 ,2 ,3 ]
Lu, Ying Juan [1 ,2 ,3 ]
Huang, Yan [2 ]
Sun, Meng Ke [1 ,2 ,3 ]
Cheng, Qiang [1 ,2 ,3 ]
Cui, Tie Jun [1 ,2 ,3 ,4 ]
机构
[1] Southeast Univ, Inst Electromagnet Space, Nanjing 210096, Peoples R China
[2] Southeast Univ, State Key Lab Millimeter Waves, Nanjing 210096, Peoples R China
[3] Southeast Univ, Frontiers Sci Ctr Mobile Informat Commun & Secur, Nanjing 210096, Peoples R China
[4] Pazhou Lab Huangpu, Guangzhou 510555, Peoples R China
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
artificial intelligence (AI); micro-Doppler effect; radar; time-domain digital coding metasurface (TDCM); NON-RECIPROCITY; RECOGNITION;
D O I
10.1002/advs.202306850
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
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
引用
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页数:8
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