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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.08208 |
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| _version_ | 1866912755053756416 |
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| author | Li, Mingyi Xu, Jiawen Zhao, Hanting Zhao, Xu Chen, Yan Jin Cui, Tie Jun Galdi, Vincenzo Li, Lianlin |
| author_facet | Li, Mingyi Xu, Jiawen Zhao, Hanting Zhao, Xu Chen, Yan Jin Cui, Tie Jun Galdi, Vincenzo Li, Lianlin |
| contents | Passive radars (PRs) provide a low-cost and energy-efficient approach to object detection by reusing existing wireless transmissions instead of emitting dedicated probing signals. Yet, conventional passive systems require prior knowledge of non-cooperative source waveforms, are vulnerable to strong interference, and rely on Doppler signatures, limiting their ability to detect subtle or slow-moving targets. Here, we introduce a metasurface-enabled PR (MEPR) concept that integrates a space-time-coding programmable metasurface to imprint distinct spatiotemporal tags onto ambient wireless wavefields. This mechanism transforms a PR into an active-like sensing platform without the need for source control, enabling interference suppression, signal enhancement, and accurate target localization and tracking in cluttered environments. A proof-of-concept implementation operating at 5.48 GHz confirms real-time imaging and tracking of unmanned aerial vehicles under interference-rich conditions, with performance comparable to active radar systems. These results establish MEPR as a solid foundation for scalable, adaptive, and energy-efficient next-generation integrated sensing and communication systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_08208 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Metasurfaces Enable Active-Like Passive Radar Li, Mingyi Xu, Jiawen Zhao, Hanting Zhao, Xu Chen, Yan Jin Cui, Tie Jun Galdi, Vincenzo Li, Lianlin Signal Processing Passive radars (PRs) provide a low-cost and energy-efficient approach to object detection by reusing existing wireless transmissions instead of emitting dedicated probing signals. Yet, conventional passive systems require prior knowledge of non-cooperative source waveforms, are vulnerable to strong interference, and rely on Doppler signatures, limiting their ability to detect subtle or slow-moving targets. Here, we introduce a metasurface-enabled PR (MEPR) concept that integrates a space-time-coding programmable metasurface to imprint distinct spatiotemporal tags onto ambient wireless wavefields. This mechanism transforms a PR into an active-like sensing platform without the need for source control, enabling interference suppression, signal enhancement, and accurate target localization and tracking in cluttered environments. A proof-of-concept implementation operating at 5.48 GHz confirms real-time imaging and tracking of unmanned aerial vehicles under interference-rich conditions, with performance comparable to active radar systems. These results establish MEPR as a solid foundation for scalable, adaptive, and energy-efficient next-generation integrated sensing and communication systems. |
| title | Metasurfaces Enable Active-Like Passive Radar |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2512.08208 |