Evidence map›Paper›PMID 42117232›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Metasurface-Enabled Active-Like Passive Radar.

Mingyi Li, Jiawen Xu, Hanting Zhao, Xu Zhao, Yanjin Chen, Tie Jun Cui, Vincenzo Galdi, Lianlin Li

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Mingyi LiState Key Laboratory of Photonics and Communications, Peking University, Beijing, China.
Jiawen XuState Key Laboratory of Photonics and Communications, Peking University, Beijing, China.
Hanting ZhaoChina Mobile Research Institute (CMRI), Beijing, China.
Xu ZhaoState Key Laboratory of Photonics and Communications, Peking University, Beijing, China.
Yanjin ChenState Key Laboratory of Photonics and Communications, Peking University, Beijing, China.
Tie Jun CuiState Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China.ORCID https://orcid.org/0000-0002-5862-1497
Vincenzo GaldiFields & Waves Lab, Department of Engineering, University of Sannio, Benevento, Italy.
Lianlin LiState Key Laboratory of Photonics and Communications, Peking University, Beijing, China.

Funding

aEuropean Union-Next Generation EU under the Italian National Recovery and Resilience Plan (NRRP), Mission 4, Component 2, Investment 1.3, partnership on "Telecommunications of the Future" (PE00000001 - program "RESTART") CUPE63C22002040007National Key Research and Development Program of China 2021YFA1401002National Key Research and Development Program of China 2023YFB3811502National Natural Science Foundation of China 62288101
6 · The paper itself

Abstract

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.

Identifiers

PMID42117232
PMCPMC13335912

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.