Radar Micro-Doppler Signature Generation Based on Time-Domain Digital Coding Metasurface
© 2024 The Authors. Advanced Science published by Wiley-VCH GmbH..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2024 |
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| Enthalten in: |
Advanced science (Weinheim, Baden-Wurttemberg, Germany) - (2024) vom: 13. März, Seite e2306850 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Wang, Si Ran [VerfasserIn] |
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| Links: |
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| Themen: |
Artificial intelligence (AI) |
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| Anmerkungen: |
Date Revised 13.03.2024 published: Print-Electronic Citation Status Publisher |
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| doi: |
10.1002/advs.202306850 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM369672577 |
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| 520 | |a © 2024 The Authors. Advanced Science published by Wiley-VCH GmbH. | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a artificial intelligence (AI) | |
| 650 | 4 | |a micro-Doppler effect | |
| 650 | 4 | |a radar | |
| 650 | 4 | |a time-domain digital coding metasurface (TDCM) | |
| 700 | 1 | |a Dai, Jun Yan |e verfasserin |4 aut | |
| 700 | 1 | |a Ke, Jun Chen |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Zhan Ye |e verfasserin |4 aut | |
| 700 | 1 | |a Zhou, Qun Yan |e verfasserin |4 aut | |
| 700 | 1 | |a Qi, Zhen Jie |e verfasserin |4 aut | |
| 700 | 1 | |a Lu, Ying Juan |e verfasserin |4 aut | |
| 700 | 1 | |a Huang, Yan |e verfasserin |4 aut | |
| 700 | 1 | |a Sun, Meng Ke |e verfasserin |4 aut | |
| 700 | 1 | |a Cheng, Qiang |e verfasserin |4 aut | |
| 700 | 1 | |a Cui, Tie Jun |e verfasserin |4 aut | |
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