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A New Method for Joint Sparse DOA Estimation.

Jinyong Hou1, Changlong Wang1, Zixuan Zhao1

  • 1Key Laboratory of Electronic Information Countermeasure and Simulation Technology, Ministry of Education, Xidian University, Xi'an 710071, China.

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Summary
This summary is machine-generated.

This study improves Direction of Arrival (DOA) estimation accuracy in passive radar systems by using multi-snapshot data and a novel convex optimization method. The enhanced approach offers superior spatial resolution and robustness in challenging conditions.

Keywords:
DOA estimationjoint sparse reconstructionl2,th norm minimization

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Area of Science:

  • Signal Processing
  • Radar Systems Engineering
  • Optimization Theory

Background:

  • Passive radar systems face challenges in accurate Direction of Arrival (DOA) estimation, especially with single-snapshot data.
  • Existing methods struggle with non-convex optimization problems inherent in mixed norm formulations.
  • Improving spatial angle resolution is crucial for distinguishing closely spaced targets.

Purpose of the Study:

  • To enhance DOA estimation accuracy and spatial resolution in passive radar systems.
  • To address the non-convexity issue in mixed norm DOA estimation.
  • To develop a robust and practical DOA estimation method for passive radar.

Main Methods:

  • Leveraging multi-snapshot data for improved DOA estimation accuracy.
  • Proposing a hyperbolic tangent model to transform a non-convex problem into a convex one.
  • Conducting comparative analysis against discrete grid DOA estimation methods.

Main Results:

  • The proposed method significantly improves DOA estimation accuracy and spatial angle resolution.
  • The hyperbolic tangent model effectively converts the non-convex problem into a solvable convex optimization problem.
  • Demonstrated superiority over existing methods, especially at medium SNR, with varying snapshots, and for close targets.

Conclusions:

  • The multi-snapshot data processing method enhances passive radar DOA estimation.
  • The convex optimization approach provides a robust and accurate solution for DOA estimation.
  • The method shows practical usability and resilience to array element count variations.