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Wideband sparse spatial spectrum estimation using matrix filter with nulling in a strong interference environment.

Yixin Yang1, Yahao Zhang1, Long Yang1

  • 1School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China.

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|July 2, 2018
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Summary
This summary is machine-generated.

This study introduces a novel method combining matrix filter with nulling (MFN) and sparse spectrum fitting (SpSF) for accurate wideband direction of arrival (DOA) estimation. The approach effectively localizes closely spaced signals even amidst strong interferences, improving passive sonar performance.

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Area of Science:

  • Signal Processing
  • Array Signal Processing
  • Underwater Acoustics

Background:

  • Wideband direction of arrival (DOA) estimation is crucial for passive sonar.
  • Existing sparsity-based DOA methods struggle with accuracy in strong interference environments.
  • Interferences significantly degrade localization performance in low signal-to-noise ratio conditions.

Purpose of the Study:

  • To propose a novel method for accurate wideband DOA estimation in strong interference.
  • To enhance the localization accuracy of closely spaced wideband signals.
  • To improve the robustness of passive sonar signal processing against interference.

Main Methods:

  • Utilizing a matrix filter with nulling (MFN) to adaptively attenuate out-of-sector interferences.
  • Developing a combined sparse spectrum fitting (SpSF) and MFN approach.
  • Comparing the proposed method against Minimum Variance Distortionless Response (MVDR) and SpSF.

Main Results:

  • The proposed SpSF and MFN method demonstrates superior localization accuracy compared to existing techniques.
  • Effective attenuation of strong interferences is achieved by the MFN component.
  • High resolution and accuracy are maintained even with few snapshots and low SNR.

Conclusions:

  • The integrated SpSF and MFN method offers a significant advancement for wideband DOA estimation in challenging environments.
  • This technique enhances the capability of passive sonar systems to detect and localize targets accurately.
  • Simulation and experimental results validate the effectiveness and robustness of the proposed approach.