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Anbang Zhao1,2,3,4, Xuejie Bi5,6,7, Juan Hui8,9,10

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This summary is machine-generated.

This study introduces a novel acoustic intensity method for resolving aerial target depth and distinguishing multiple targets. The approach accurately identifies target categories and numbers, even in complex multi-target scenarios.

Keywords:
Monte Carloaerial targetdepth resolutionmulti-targetthree-dimensional

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Area of Science:

  • Acoustics
  • Signal Processing
  • Target Recognition

Background:

  • Accurate aerial target identification and depth resolution are crucial for defense and surveillance.
  • Distinguishing between single and multiple targets with similar spectral characteristics presents a significant challenge.

Purpose of the Study:

  • To develop and verify a robust method for target number and category resolution in multi-target scenarios.
  • To achieve precise three-dimensional depth resolution for aerial targets using acoustic intensity.

Main Methods:

  • Utilizing the sign distribution of the reactive component of vertical complex acoustic intensity for depth resolution.
  • Combining bearing-time recording information for multi-target number and category resolution.
  • Employing Monte Carlo simulations and sea experimental data for verification.

Main Results:

  • The proposed algorithm successfully distinguishes between single-target and multi-target multi-line spectrum cases.
  • An improved azimuth-estimation method enhances accuracy in multi-target environments.
  • Aerial targets are effectively categorized and their 3D depth resolved by treating them as a special case of surface targets.

Conclusions:

  • The developed acoustic intensity-based method provides accurate target number, category, and 3D depth resolution for aerial targets.
  • The approach is validated through simulations and real-world sea experimental data, demonstrating its practical applicability.