Dynamic Realization of Broadband Microwave Illusion Using Programmable Metasurfaces

ABSTRACT Achieving dynamic and broadband microwave illusion remains highly challenging for stealth platforms. Here, a hybrid‐phase synthesis strategy that combines structural control with voltage tuning is proposed for programmable metasurfaces embedded with varactors. An active meta‐atom with resonantly coupled metallic “H” structure and parasitic patches is designed to provide large phase coverage, while eight meta‐atoms with different structural parameters are selected through gradient‐descent optimization. Required reverse‐biased voltages are then determined frequency by frequency using a root‐finding algorithm, enabling accurate phase restoration and broadband wavefront reconstruction through FPGA control. To validate the concept, a programmable illusion metadevice is fabricated by wrapping the metasurfaces over a 3D triangular platform with a tilt angle of 30°. Simulated and measured results demonstrate that the device reconstructs scattering wavefronts within 1.9–3.1 GHz, corresponding to a fractional bandwidth of 48%, for multiple virtual objects under different incidence conditions. In addition, the system exhibits a switching response time of approximately 71 µs and a total power consumption of 6.13 W, highlighting its potential for practical broadband microwave illusion applications.

Authors

Institutions

Publication Details

Journal
Advanced Materials Technologies
Published
2026-05-09
DOI
https://doi.org/10.1002/admt.71037
Primary Topic
Metamaterials and Metasurfaces Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic Realization of Broadband Microwave Illusion Using Programmable Metasurfaces

Zi Wang, Fan Zhang, He‐Xiu Xu, Hui Wang et al.
Advanced Materials Technologies
Metamaterials and Metasurfaces Applications
article

Dynamic Realization of Broadband Microwave Illusion Using Programmable Metasurfaces

Zi Wang, Fan Zhang, He‐Xiu Xu, Hui Wang, Yanzhao Wang
article en

Abstract

ABSTRACT Achieving dynamic and broadband microwave illusion remains highly challenging for stealth platforms. Here, a hybrid‐phase synthesis strategy that combines structural control with voltage tuning is proposed for programmable metasurfaces embedded with varactors. An active meta‐atom with resonantly coupled metallic “H” structure and parasitic patches is designed to provide large phase coverage, while eight meta‐atoms with different structural parameters are selected through gradient‐descent optimization. Required reverse‐biased voltages are then determined frequency by frequency using a root‐finding algorithm, enabling accurate phase restoration and broadband wavefront reconstruction through FPGA control. To validate the concept, a programmable illusion metadevice is fabricated by wrapping the metasurfaces over a 3D triangular platform with a tilt angle of 30°. Simulated and measured results demonstrate that the device reconstructs scattering wavefronts within 1.9–3.1 GHz, corresponding to a fractional bandwidth of 48%, for multiple virtual objects under different incidence conditions. In addition, the system exhibits a switching response time of approximately 71 µs and a total power consumption of 6.13 W, highlighting its potential for practical broadband microwave illusion applications.

Advanced Materials Technologies
Air Force Engineering University (CN)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 13%
Metamaterials and Metasurfaces Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.