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Passive estimation of target velocity based on cross-spectrum histogram
Anbang Zhao1, Pengfei Song1, Juan Hui1
1Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China.
The Journal of the Acoustical Society of America
|June 1, 2022
Summary
A new cross-spectrum histogram method improves underwater target velocity estimation, even when conventional methods fail due to marine interference. This technique enhances acoustic target parameter estimation in noisy environments.
Area of Science:
- Underwater acoustics
- Signal processing
- Target parameter estimation
Background:
- Conventional cross-spectrum methods for target velocity estimation are susceptible to performance degradation in noisy marine environments.
- Increased environmental interference significantly impacts the accuracy of traditional underwater acoustic target parameter estimation.
Purpose of the Study:
- To develop a robust method for underwater acoustic target velocity estimation that overcomes limitations of conventional techniques in high-interference scenarios.
- To introduce a novel cross-spectrum histogram method leveraging multi-line spectrum characteristics for improved target velocity estimation.
Main Methods:
- Proposed a cross-spectrum histogram method combining multi-line spectrum characteristics.
- Applied cross-spectrum compensation to each frequency point of line spectra.
- Utilized probability distribution statistics on velocity estimation results across all frequency points.
Main Results:
- The proposed cross-spectrum histogram method demonstrated effectiveness in target velocity estimation.
- The method maintained accuracy even under varying signal-to-noise ratios.
- Simulations and experiments confirmed the method's superiority over conventional approaches in failing conditions.
Conclusions:
- The cross-spectrum histogram method offers a robust solution for underwater acoustic target velocity estimation in challenging marine environments.
- This approach significantly enhances the reliability of target parameter estimation where traditional methods falter.
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