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Research on AUV Underwater Localization Method Based on an n-Shaped Array.

Chuang Han1,2, Mengran Gao1, Tao Shen1

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Summary
This summary is machine-generated.

Accurate autonomous underwater vehicle (AUV) localization for recovery is achieved using a novel n-shaped hydrophone array. This method combines spatial smoothing, MUSIC, and SAGE algorithms for precise underwater navigation and positioning.

Keywords:
MUSIC algorithmSAGE algorithmcoherent signalsfar-field localizationn-shaped arraynear-field source localization

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Area of Science:

  • Robotics
  • Underwater Acoustics
  • Signal Processing

Background:

  • Accurate localization of autonomous underwater vehicles (AUVs) is critical for their recovery by a mother ship via underwater hangars.
  • Underwater acoustic signals suffer from multipath propagation and interference, complicating localization.
  • Existing methods may lack accuracy in complex underwater acoustic environments.

Purpose of the Study:

  • To develop an effective method for precise AUV localization relative to a mother ship.
  • To design an n-shaped hydrophone array optimized for underwater hangar spatial configurations.
  • To improve the accuracy of underwater acoustic source localization, extending from far-field to near-field scenarios.

Main Methods:

  • Design of an n-shaped hydrophone array tailored to underwater hangar geometry.
  • Application of spatial smoothing to x-axis and y-axis subarrays.
  • Joint construction of received data vectors and eigenvalue decomposition of covariance matrices.
  • Utilizing the Multiple Signal Classification (MUSIC) algorithm for initial angle estimation.
  • Employing the Space-Alternating Generalized Expectation-maximization (SAGE) algorithm for refined angular parameter optimization.
  • Extension of the localization method to near-field scenarios.

Main Results:

  • The proposed n-shaped hydrophone array facilitates accurate AUV localization.
  • The combined MUSIC and SAGE algorithm approach significantly enhances estimation accuracy.
  • The method demonstrates robust performance in parameter estimation for underwater acoustic localization.
  • Successful extension of the algorithm from far-field to near-field localization scenarios.

Conclusions:

  • The developed n-shaped hydrophone array and localization algorithm provide a viable solution for AUV recovery.
  • The proposed method effectively addresses challenges posed by underwater acoustic signal impairments.
  • This approach offers improved accuracy and robustness for underwater navigation and positioning systems.