Dihedral Corner Region Camouflage in Radar Vision by Super-Dispersion Encoded Surfaces
Right-angle dihedral structures produce strong, highly correlated returns that dominate radar cross-section (RCS) and image signatures. Conventional absorbers or random coding metasurfaces often lose effectiveness across wide frequency bands and angles, and cannot adequately suppress the corner-induced hot spots. We propose a wideband super-dispersion encoded surface (SDES) conformally applied to dihedral facets. The approach co-designs input-admittance for absorption with a deterministic super-dispersion phase sequence to redistribute energy spectrally and angularly, thereby decorrelating the returns. We implement SDES on a thin composite panel and evaluate it on canonical dihedral and dihedral–cylindrical hybrid configurations. Unlike diffuse or random coding schemes, SDES enforces broadband, angle-stable dispersion with a deterministic sequence that specifically addresses corner singularity scattering. We also introduce perceptual-hashing as an imaging-domain metric to link RCS control with observable radar-image changes. From 12–18 GHz, SDES reduces the average monostatic RCS by 9.6 dB on a right-angle dihedral. In dihedral–cylindrical hybrids, SDES removes the corner hot spots and drives the radar-image similarity index down to 0.31, confirming substantial alteration of scattering signatures.
Authors
- Xujin Yuan (ORCID: https://orcid.org/0000-0003-1630-3180)
- 和弘 藤田 (ORCID: https://orcid.org/0000-0002-2944-5666)
- Hongcheng Yin
- Sheng Li (ORCID: https://orcid.org/0000-0002-8828-3994)
- Wenlin Zhang (ORCID: https://orcid.org/0000-0001-8012-5900)
- Weibin Sun (ORCID: https://orcid.org/0009-0008-6818-6645)
Institutions
- Beijing Institute of Technology (CN)
- National Health and Family Planning Commission (CN)
Publication Details
- Journal
- Computation
- Published
- 2025-11-22
- DOI
- https://doi.org/10.3390/computation13120274
- Primary Topic
- Metamaterials and Metasurfaces Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China