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An interference suppression method in underwater acoustics based on Riemannian geometry.

Xueli Sheng1,2,3, Hang Dong1,2,3, Bingyu Shi1,2,3

  • 1National Key Laboratory of Underwater Acoustic Technology, Harbin Engineering University, Harbin 150001, China.

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Summary
This summary is machine-generated.

This study introduces a novel wideband interference suppression method for passive sonar systems. The technique enhances signal-to-interference ratio by utilizing Riemannian geometry, effectively rejecting interference without prior information.

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Area of Science:

  • Signal Processing
  • Underwater Acoustics
  • Array Signal Processing

Background:

  • Array signal processing is crucial for sonar systems but is degraded by strong interference.
  • Direction of arrival estimation and target localization are particularly sensitive to interference.
  • Existing methods often require prior information or are less effective against wideband interference.

Purpose of the Study:

  • To propose a wideband interference suppression method for passive sonar systems.
  • To leverage Riemannian geometry for improved interference rejection.
  • To enhance the signal-to-interference ratio (SIR) without prior knowledge.

Main Methods:

  • Developed a method based on the Riemannian geometry of Hermitian positive definite matrices.
  • Incorporated the Riemannian mean of the sample covariance matrix into conventional beamforming.
  • Utilized passive sonar system data for validation.

Main Results:

  • The proposed method effectively rejects interference directions by creating a spatial spectrum.
  • Achieved enhanced signal-to-interference ratio compared to conventional approaches.
  • Demonstrated superior performance over competing interference suppression techniques.

Conclusions:

  • The Riemannian geometry-based approach offers a robust solution for wideband interference suppression in passive sonar.
  • The method effectively improves array signal processing performance in challenging acoustic environments.
  • Validated effectiveness through numerical simulations and experimental data comparison.