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