A Wide Field of View and Broadband Infrared Imaging System Integrating a Dispersion-Engineered Metasurface
We present a compact hybrid imaging system operating in the 3–5 μm spectral band that combines refractive optics with a dispersion-engineered metasurface to overcome the longstanding trade-off between wide field of view (FOV), system size, and thermal stability. The system achieves an ultra-wide 178° FOV within a total track length of only 28.25 mm, employing just three refractive lenses and one metasurface. Through co-optimization of material selection and system architecture, it maintains the modulation transfer function (MTF) exceeding 0.54 at 33 lp/mm and the geometric (GEO) radius below 15 μm across an extended operational temperature range from –40 °C to 60 °C. The metasurface is designed using a propagation phase approach with cylindrical unit cells to ensure polarization-insensitive behavior, and its broadband dispersion-free phase profile is optimized via a particle swarm algorithm. The results indicate that phase-matching errors remain small at all wavelengths, with a mean value of 0.11068. This design provides an environmentally resilient solution for lightweight applications, including automotive infrared night vision and unmanned aerial vehicle remote sensing.
Authors
- Xin Xie (ORCID: https://orcid.org/0000-0003-2159-7996)
- Yunqiang Zhang (ORCID: https://orcid.org/0000-0001-8668-1182)
- Xuetao Gan (ORCID: https://orcid.org/0000-0003-2469-5807)
- Li Zhu (ORCID: https://orcid.org/0009-0004-2565-3953)
- Bo Liu (ORCID: https://orcid.org/0009-0007-9569-3039)
Institutions
- Northwestern Polytechnical University (CN)
- China Academy of Engineering Physics (CN)
- Ministry of Industry and Information Technology (CN)
Publication Details
- Journal
- Photonics
- Published
- 2025-10-19
- DOI
- https://doi.org/10.3390/photonics12101033
- Primary Topic
- Metamaterials and Metasurfaces Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- China Postdoctoral Science Foundation
- Natural Science Foundation of Sichuan Province