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Velocity Estimation of Passive Target Based on Sparse Bayesian Learning Cross-Spectrum.
Xionghui Li1,2, Guolong Liang1,3,4, Tongsheng Shen2
1College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China.
Sensors (Basel, Switzerland)
|November 9, 2024
Summary
A new sparse Bayesian learning cross-spectrum (SBL-CS) method improves hydroacoustic weak-target passive velocimetry. This technique enhances target velocity estimation, outperforming traditional methods even in low signal-to-noise ratios.
Area of Science:
- Acoustics
- Signal Processing
- Oceanography
Background:
- Hydroacoustic weak-target passive velocimetry is crucial for marine applications.
- The traditional cross-spectrum (CS) method often fails or performs poorly in these scenarios.
- Limitations include susceptibility to background noise and frequency misalignment.
Purpose of the Study:
- To develop an improved method for hydroacoustic weak-target passive velocimetry.
- To address the performance failures of the conventional CS method.
- To enhance the accuracy and robustness of radial speed estimation for passive targets.
Main Methods:
- A novel sparse Bayesian learning cross-spectrum (SBL-CS) method was developed.
- Phase compensation was applied to align cross-spectrum results across frequencies.
- Iterative estimation fused inter-correlation sound intensity from multiple frequencies, incorporating sparse Bayesian learning (SBL).
Main Results:
- SBL-CS demonstrated effectiveness in target velocity estimation where the CS method failed.
- The proposed method showed superior performance compared to the CS method, especially at lower signal-to-noise ratios (SNR).
- On the SWellEx-96 dataset, SBL-CS achieved a root mean square error (RMSE) of 0.3545 m/s for surface vessel speed, a 46.1% reduction compared to the CS method.
Conclusions:
- The SBL-CS method is feasible and effective for estimating the radial speed of passive targets.
- Phase compensation and multi-frequency processing significantly improve velocimetry performance.
- SBL-CS offers a robust solution for hydroacoustic velocimetry in challenging environments.
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