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Multiple co-frequency sources DOA estimation for coprime vector sensor arrays.

Xiao Chen1, Hao Zhang1,2, Zhen Wang1

  • 1Department of Electronic Engineering, Ocean University of China, Qingdao, China.

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This study introduces a new direction-of-arrival (DOA) estimation method for coprime vector hydrophone arrays. It effectively reduces false alarms and improves accuracy, even in low signal-to-noise ratio conditions.

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Area of Science:

  • Acoustics
  • Signal Processing
  • Array Signal Processing

Background:

  • Coprime arrays face challenges with high spatial spectrum false alarms due to overlapping lobes.
  • Existing methods struggle with accurate direction-of-arrival (DOA) estimation for multiple co-frequency sources.

Purpose of the Study:

  • To propose a novel DOA estimation method for coprime vector hydrophone arrays.
  • To address false alarms caused by lobe overlap and improve estimation accuracy.
  • To enable stable DOA estimation for multiple co-frequency sources, even at low SNRs.

Main Methods:

  • Utilizes vector cross terms (VCTs) leveraging vector hydrophone directivity.
  • Employs a characteristic data point identification method based on VCTs.
  • Introduces a Queue Selection (QS) method with inverse beamforming for interference rejection.

Main Results:

  • The VCT-based method preserves characteristic bearing data.
  • The QS method effectively weakens grating lobe influence, enhancing direction extraction accuracy.
  • The proposed algorithm achieves stable DOA estimation without requiring decoherence processing.
  • Simulations confirm reliable performance in low signal-to-noise ratio (SNR) environments.

Conclusions:

  • The novel DOA estimation method for coprime vector hydrophone arrays effectively mitigates false alarms.
  • The integration of VCTs and QS offers improved accuracy and robustness, particularly in challenging acoustic environments.
  • This approach provides a stable and reliable solution for multi-source DOA estimation with low SNR.