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Radial source velocity estimation based on cross-spectrum equalization accumulation compensation in shallow water.

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This study introduces an improved method for target velocity estimation, enhancing interference immunity by refining cross-spectrum analysis. The new technique effectively suppresses interference, leading to more accurate velocity measurements.

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Area of Science:

  • Signal Processing
  • Ocean Acoustics
  • Target Tracking

Background:

  • Histogram-based methods previously improved target velocity estimation using cross-spectrum analysis.
  • However, these methods can introduce bias and have limitations in interference suppression.

Purpose of the Study:

  • To propose a novel method for target velocity estimation that eliminates histogram-induced bias.
  • To further enhance interference immunity in cross-spectrum-based velocity estimation.

Main Methods:

  • Design of an equalization window to preserve cross-spectrum peaks while suppressing interference.
  • Compensation and accumulation across all frequency points to boost interference immunity.

Main Results:

  • The proposed method effectively suppresses interference peaks while preserving target cross-spectrum peaks.
  • Simulation and sea trial data confirm the enhanced performance and accuracy of the new technique.

Conclusions:

  • The novel equalization window and frequency point accumulation method significantly improves interference immunity for target velocity estimation.
  • This approach offers a more robust and accurate solution for velocity estimation in challenging acoustic environments.