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Reweighted Off-Grid Sparse Spectrum Fitting for DOA Estimation in Sensor Array with Unknown Mutual Coupling.

Liangliang Li1, Xianpeng Wang1, Xiang Lan1

  • 1State Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou 570228, China.

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Summary
This summary is machine-generated.

This study introduces a new method for direction-of-arrival (DOA) estimation in sensor arrays with unknown mutual coupling. The reweighted off-grid Sparse Spectrum Fitting (Re-OGSpSF) approach achieves high-precision, continuous DOA estimation efficiently.

Keywords:
DOA estimationSparse Spectrum Fittingoff-grid errorreweighted sparse recoverysensor arrayunknown mutual coupling

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Area of Science:

  • Signal Processing
  • Array Signal Processing
  • Electromagnetics

Background:

  • Direction-of-arrival (DOA) estimation is crucial for sensor array applications.
  • Unknown mutual coupling between sensors significantly degrades traditional DOA estimation performance.
  • Existing off-grid DOA estimation methods using sparse recovery are limited, especially under mutual coupling.

Purpose of the Study:

  • To investigate off-grid DOA estimation in sensor arrays with unknown mutual coupling.
  • To develop a novel and robust DOA estimation algorithm for challenging environments.
  • To enhance the accuracy and efficiency of direction finding techniques.

Main Methods:

  • A reweighted off-grid Sparse Spectrum Fitting (Re-OGSpSF) approach is proposed.
  • An undisturbed array output is formed using a selection matrix to mitigate mutual coupling effects.
  • A refined off-grid SpSF model integrates an off-grid error term, and a weighted matrix enhances sparsity.

Main Results:

  • The Re-OGSpSF method effectively removes unknown mutual coupling effects.
  • High-precision continuous DOA estimation is achieved through off-grid representation and reweighted strategies.
  • The proposed method demonstrates superior performance and efficiency compared to existing techniques in simulations.

Conclusions:

  • The developed Re-OGSpSF approach provides a robust solution for off-grid DOA estimation under unknown mutual coupling.
  • The method offers significant advantages for real-time direction finding applications.
  • Simulation results confirm the effectiveness and superiority of the proposed technique.