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An adaptive loop gain CLEAN algorithm based on spatial source coherence for port/starboard discrimination.

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This study introduces an adaptive CLEAN algorithm (A-CLEAN-SC) to improve port/starboard discrimination in direction of arrival estimation. The method enhances detection of weak targets obscured by interference artifacts.

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Area of Science:

  • Signal Processing
  • Array Signal Processing
  • Electromagnetics

Background:

  • Near-linear arrays are crucial for direction of arrival (DOA) estimation.
  • Cylindrical symmetry in arrays presents challenges for port/starboard discrimination (PSD).
  • Interference-induced mirror artifacts can obscure weak targets.

Purpose of the Study:

  • To address the port/starboard discrimination (PSD) problem in DOA estimation using near-linear arrays.
  • To develop a method for detecting weak targets obscured by interference-induced mirror artifacts.
  • To improve the trade-off between mirror suppression and weak target detectability.

Main Methods:

  • Introduction of an adaptive loop gain CLEAN algorithm based on spatial source coherence (A-CLEAN-SC).
  • Formulation of detection and false alarm probabilities as functions of loop gain.
  • Adaptive determination of loop gain by maximizing the difference between detection and false alarm probabilities.

Main Results:

  • A-CLEAN-SC demonstrates superior performance in mirror suppression compared to existing methods.
  • The algorithm effectively enhances the detectability of weak targets.
  • The proposed method shows improved performance, especially under steering vector mismatch conditions.

Conclusions:

  • A-CLEAN-SC effectively solves the port/starboard discrimination challenge in DOA estimation.
  • The algorithm provides a superior trade-off between mirror suppression and weak target detection.
  • A-CLEAN-SC is particularly advantageous for near-linear arrays with steering vector mismatch.