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Wideband RCS Reduction Using Coding Diffusion Metasurface.

Luqman Ali1, Qinlong Li1, Tayyab Ali Khan2

  • 1School of Electronics and Information Engineering, Xi'an Jiaotong University, Xian 710049, China.

Materials (Basel, Switzerland)
|August 28, 2019
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Summary
This summary is machine-generated.

This study introduces a novel coding diffusion metasurface for radar cross-section (RCS) reduction. Optimized via random algorithms, it achieves significant RCS reduction across a wide frequency band, outperforming traditional designs.

Keywords:
metasurfaceoptimization algorithmradar cross-section (RCS)scattering field

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Area of Science:

  • Electromagnetics and Metamaterials
  • Antenna and Radar Technology

Background:

  • Radar cross-section (RCS) reduction is crucial for stealth applications.
  • Metasurfaces offer advanced control over electromagnetic wave interactions.

Purpose of the Study:

  • To present a coding diffusion metasurface for effective RCS reduction.
  • To optimize the metasurface design using a random optimization algorithm.

Main Methods:

  • Design of a metasurface with two unit cells ('1' and '0') exhibiting a 180° ± 37° phase difference.
  • Optimization of the metasurface using a random optimization algorithm.
  • Analysis of monostatic and bistatic RCS reduction performance.

Main Results:

  • Achieved over 9 dB RCS reduction within the 8.6 GHz to 22.5 GHz frequency band.
  • Demonstrated wider bandwidth for monostatic RCS reduction compared to chessboard metasurfaces.
  • Observed significant RCS reduction in bistatic performance at 15.4 GHz versus a metallic plate.

Conclusions:

  • The coding diffusion metasurface effectively reduces RCS over a broad frequency range.
  • The designed metasurface shows superior performance to traditional chessboard designs.
  • Simulated and measured results validate the proficiency of the proposed metasurface technique.