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February 19, 2026The Journal of the Acoustical Society of America0 citations

Thickness-insensitive coding metasurface for broadband underwater acoustic radar cross section reduction

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JZJia-Wang ZhangSZSheng-Dong ZhaoHDHao-Wen Dong

Key Points

  • To develop a metasurface that reduces target detectability in underwater acoustics without dependence on material thickness.
  • Introduced a 1-bit coding metasurface with two distinct units.
  • Utilized optimized spatial coding to redirect incident waves.
  • Conducted simulations and experiments to validate effectiveness.
  • Achieved over 10 dB reduction in radar cross section.
  • Maintained reflection phase stability across various air-cavity thicknesses.
  • Demonstrated effectiveness across a frequency range from 10 to 35 kHz.

Abstract

In underwater acoustics, reducing target detectability typically requires tailoring material thickness to specific frequencies, posing a fundamental constraint for broadband stealth. Here, we break this thickness-frequency dependency by introducing a 1-bit coding metasurface (CM) that achieves effective acoustic scattering suppression from 10 to 35 kHz with minimal sensitivity to cavity geometry. The CM comprises two deep-subwavelength units exhibiting a 180° reflection-phase difference: a metal-backed “0” unit that mimics a rigid boundary, and a “1” unit that encapsulates a stabilized air bubble with a polymer membrane to approximate a pressure-release surface. Through optimized spatial coding, the CM redirects incident plane waves into diffuse scattering patterns, substantially attenuating specular reflection. Both simulations and experiments confirm greater than 10 dB radar-cross section reduction over a broad angular span (up to 45°). Crucially, the reflection phase remains stable against variations in air-cavity thickness across the operational band, demonstrating a thickness-decoupled design paradigm. This work provides a robust, fabrication-friendly strategy for broadband underwater acoustic signature control, with potential applications in sonar camouflage and wavefront manipulation.

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Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/6996a8c7ecb39a600b3efca9https://doi.org/10.1121/10.0042531
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