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DOA Estimation and Self-Calibration under Unknown Mutual Coupling.

Dong Qi, Min Tang1, Shiwen Chen2

  • 1National Digital Switching System Engineering and Technological Research Center (NDSC), Zhengzhou 86-450001, China. tangminmvp@126.com.

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Summary
This summary is machine-generated.

This study introduces a new self-calibration method for direction-dependent mutual coupling (MC) using time-frequency distributions. The novel approach accurately estimates direction of arrival (DOA) and MC coefficients, outperforming existing methods.

Keywords:
DOA estimationdirection-dependent mutual couplingself-calibrationtime-frequency distribution

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Area of Science:

  • Signal Processing
  • Electromagnetics
  • Array Signal Processing

Background:

  • Traditional array calibration methods fail with direction-dependent mutual coupling (MC).
  • MC significantly degrades the performance of direction of arrival (DOA) estimation algorithms.
  • The assumption of omnidirectional antenna elements is often invalid in practical scenarios.

Purpose of the Study:

  • To develop a novel self-calibration algorithm for DOA and MC estimation.
  • To address the challenges posed by direction-dependent MC in array signal processing.
  • To improve the accuracy and robustness of DOA estimation in the presence of MC.

Main Methods:

  • Utilizing time-frequency distributions (TFDs) to compute space-time-frequency distributions (STFDs) matrices.
  • Estimating steering vectors and noise subspaces via noise removal, TF point extraction, and clustering.
  • Formulating and solving linear equations using a two-step alternating iterative least squares method.

Main Results:

  • The proposed algorithm successfully performs self-calibration for direction-dependent MC.
  • Accurate estimation of both DOA and MC coefficients is achieved.
  • Simulations demonstrate superior performance compared to existing calibration algorithms.

Conclusions:

  • The developed method effectively handles direction-dependent MC in array systems.
  • This approach offers a robust solution for accurate DOA estimation.
  • The algorithm provides a significant advancement in array self-calibration techniques.