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Area of Science:

  • Oceanography
  • Acoustics
  • Signal Processing

Background:

  • Underwater acoustic signals exhibit interference patterns when targets move.
  • Traditional methods for passive target localization can be complex and require multiple sensors.

Purpose of the Study:

  • To propose a novel passive depth estimation method using a single vector sensor (SVS).
  • To analyze the oscillating interference patterns of narrowband acoustic signals received underwater.

Main Methods:

  • Utilizing a single vector sensor (SVS) to receive narrowband acoustic signals.
  • Applying adaptive line enhancing to process received signals.
  • Extracting vector intensity, which exhibits periodic oscillations with vertical azimuth.

Main Results:

  • Observed oscillating interference patterns correlating with target movement.
  • Demonstrated a passive depth estimation method based on the Fourier-transform relationship between depth and interference period.
  • Validated the method through both simulation and sea experiments.

Conclusions:

  • The proposed passive depth estimation method using SVS is effective for underwater targets.
  • The method leverages the relationship between acoustic interference periodicity and target depth.
  • Single vector sensor-based passive localization is feasible and accurate.