Joint Amplitude‐Phase Coding Spatiotemporal Metasurface for Integrated Sensing and Camouflage

ABSTRACT Spatiotemporal modulated metasurfaces (STMMs) hold great promise for integrating electromagnetic (EM) sensing and radar camouflage to enhance battlefield survivability, yet existing STMM‐based methods remain constrained by limited array scalability, inadequate jamming efficacy, and insufficient functional integration. Here, a joint amplitude‐phase coding (JAPC) STMM architecture is proposed that establishes a highly compatible and reconfigurable platform for EM sensing and camouflage. First, a ternary JAPC weighing matrix is introduced to enable high‐precision direction sensing across arbitrarily scalable arrays, thereby markedly enhancing overall system adaptability and deployment flexibility. Then, precise time‐delay control is harnessed to realize retrodirective jamming, whereby the jamming beam is steered precisely back along the incident direction of the probing signal. Lastly, an interleaved JAPC modulation scheme is devised to simultaneously suppress fundamental harmonic energy and nullify advanced signal recovery techniques, while sustaining robust camouflage performance in the presence of realistic perturbations in reflection characteristics. Collectively, these three capabilities form a self‐contained closed‐loop system that unifies EM sensing, decision‐making, and adaptive camouflage. Simulation and experimental results jointly validate the effectiveness of the proposed architecture, offering a low‐complexity, highly adaptive EM countermeasure solution for next‐generation combat platforms.

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Publication Details

Journal
Laser & Photonics Review
Published
2026-09-18
DOI
https://doi.org/10.1002/lpor.71924
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
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article

Joint Amplitude‐Phase Coding Spatiotemporal Metasurface for Integrated Sensing and Camouflage

Jianming Liao, Yi Chen, Jun Luo, Xiangang Luo et al.
Laser & Photonics Review
Advanced Wireless Communication Technologies
article

Joint Amplitude‐Phase Coding Spatiotemporal Metasurface for Integrated Sensing and Camouflage

Jianming Liao, Yi Chen, Jun Luo, Xiangang Luo, Cheng Huang, Xiaoliang Ma, Heming Xin
article en

Abstract

ABSTRACT Spatiotemporal modulated metasurfaces (STMMs) hold great promise for integrating electromagnetic (EM) sensing and radar camouflage to enhance battlefield survivability, yet existing STMM‐based methods remain constrained by limited array scalability, inadequate jamming efficacy, and insufficient functional integration. Here, a joint amplitude‐phase coding (JAPC) STMM architecture is proposed that establishes a highly compatible and reconfigurable platform for EM sensing and camouflage. First, a ternary JAPC weighing matrix is introduced to enable high‐precision direction sensing across arbitrarily scalable arrays, thereby markedly enhancing overall system adaptability and deployment flexibility. Then, precise time‐delay control is harnessed to realize retrodirective jamming, whereby the jamming beam is steered precisely back along the incident direction of the probing signal. Lastly, an interleaved JAPC modulation scheme is devised to simultaneously suppress fundamental harmonic energy and nullify advanced signal recovery techniques, while sustaining robust camouflage performance in the presence of realistic perturbations in reflection characteristics. Collectively, these three capabilities form a self‐contained closed‐loop system that unifies EM sensing, decision‐making, and adaptive camouflage. Simulation and experimental results jointly validate the effectiveness of the proposed architecture, offering a low‐complexity, highly adaptive EM countermeasure solution for next‐generation combat platforms.

Laser & Photonics Review
Institute of Optics and Electronics, Chinese Academy of Sciences (CN), Academy of Opto-Electronics (CN), University of Chinese Academy of Sciences (CN)
National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 20%
Advanced Wireless Communication Technologies
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