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A Fast Prediction Method for Wide-Angle Bistatic Scattering and Reflection Coefficients of Acoustically Coated Plates
Yanhua Zhang1, Zilong Peng1, Liwen Tan1
1School of Energy and Power Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China.
Sensors (Basel, Switzerland)
|March 28, 2026
Summary
A new method rapidly predicts wide-angle scattering for sonar systems. This technique accurately determines bistatic reflection coefficients for acoustic stealth materials, significantly reducing computational time compared to traditional simulations.
Area of Science:
- Acoustics
- Materials Science
- Signal Processing
Background:
- Multistatic sonar enhances underwater target detection.
- Accurate wide-angle bistatic scattering data is crucial for system performance and acoustic coating design.
- Experimental measurements and conventional finite-element method (FEM) simulations face challenges in obtaining full-angle scattering characteristics.
Purpose of the Study:
- To develop a fast and accurate method for predicting wide-angle scattering from acoustically coated plates.
- To enable efficient evaluation of bistatic reflection coefficients for complex targets and environments.
- To provide a foundation for rapid target strength prediction using the Planar Element Method.
Main Methods:
- Constructing a scattering transfer matrix from surface mesh data.
- Retrieving equivalent source density from a limited set of scattered pressure samples.
- Reconstructing the full-angle scattering field and extracting reflection coefficients.
Main Results:
- The proposed method accurately reproduces bistatic reflection coefficients for rigid and coated plates.
- Predictions align with finite-element calculations, capturing non-linear dispersion and interference fringes.
- The method demonstrates high accuracy across a wide frequency band (100 Hz to 5 kHz).
Conclusions:
- The developed method significantly reduces computational time compared to traditional FEM sweeps.
- It offers an efficient tool for designing acoustic stealth materials.
- This approach lays the groundwork for rapid target strength prediction of complex targets.
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