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Dihedral Corner Region Camouflage in Radar Vision by Super-Dispersion Encoded Surfaces

  • Weibin Sun*
  • , Wenlin Zhang
  • , Xujin Yuan*
  • , He Tian
  • , Sheng Li
  • , Hongcheng Yin
  • *此作品的通讯作者
  • Beijing Institute of Technology
  • National Key Laboratory of Scattering and Radiation

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

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.

源语言英语
期刊论文编号274
期刊Computation
卷13
期12
DOI
出版状态已出版 - 12月 2025
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