An Improved Fast Prediction Method for Full-Space Bistatic Acoustic Scattering of Underwater Vehicles

Area of Science:

• Acoustics
• Underwater acoustics
• Computational physics

Background:

• Accurate prediction of underwater acoustic scattering fields is crucial for naval applications.
• Existing methods for bistatic scattering prediction can be computationally intensive.
• Efficient algorithms are needed to handle complex underwater vehicle geometries.

Purpose of the Study:

• To develop an improved rapid prediction method for the full-space bistatic scattering sound field of underwater vehicles.
• To enhance computational efficiency and reliability in predicting scattering sound fields.
• To reduce the amount of input data required for scattering field prediction.

Main Methods:

• Representing the scattering sound field as a product of acoustic scattering transfer function and sound source density function.
• Utilizing target surface mesh information and partial scattered sound pressure data.
• Employing numerical integration, matrix theory, and the least squares method.
• Incorporating the monostatic to bistatic equivalence theorem to reduce data input.

Main Results:

• The proposed method demonstrates favorable computational efficiency and reliability compared to simulation results.
• Experimental validation on a double-layered ribbed cylindrical shell confirms the method's performance.
• The algorithm successfully predicts bistatic scattering sound fields with reduced data requirements.

Conclusions:

• The improved rapid prediction method offers an efficient and reliable solution for analyzing underwater vehicle acoustic scattering.
• The incorporation of the monostatic to bistatic equivalence theorem is key to reducing data input.
• This method has significant potential for applications in underwater acoustics and naval engineering.