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A Sea-Surface-Zoning Method Based on Fractal Characteristics.

Huaxing Kuang1,2, Luxi Yang1

  • 1School of Information Science and Engineering, Southeast University, Nanjing 211189, China.

Sensors (Basel, Switzerland)
|July 9, 2022
PubMed
Summary

This study introduces a novel sea surface zoning criterion using fractal analysis. It distinguishes between sea clutter and noise, improving radar detection in complex environments.

Keywords:
fractal characteristicsradar theorysea surface zoning

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Area of Science:

  • Radar signal processing
  • Fractal geometry applied to environmental sensing

Background:

  • Existing sea clutter models and detectors are insufficient for mixed noise-clutter environments.
  • Signal-to-clutter ratio (SCR) is inadequate for differentiating dominant disturbance types.
  • A need exists for rules to delineate sea clutter, noise, and mixed zones.

Purpose of the Study:

  • To develop a criterion for sea surface zoning based on fractal characteristics.
  • To improve radar detection performance by accurately characterizing sea surface disturbances.
  • To propose a method for distinguishing between sea clutter and noise dominance.

Main Methods:

  • Analysis of fractal characteristics of disturbances, specifically the Hurst exponent (H).
  • Modeling the variation of H with range bins using a modified Sigmoid function.
  • Formulating zoning rules based on the derivative of the Sigmoid function.

Main Results:

  • The Hurst exponent (H) is identified as a key feature for distinguishing sea clutter from noise.
  • A modified Sigmoid function effectively models H variations.
  • A new set of rules for sea surface zoning is established.

Conclusions:

  • Fractal analysis, particularly the Hurst exponent, provides a robust method for sea surface zoning.
  • The proposed zoning criterion enhances the ability to manage radar detection in diverse sea conditions.
  • This approach offers a more accurate way to classify sea surface environments than traditional SCR methods.