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<p>Fourth-order cumulants (FOC) are well adopted for direction of arrival (DOA) estimation for suppressing Gaussian noise to improve the estimation accuracy for a given number of sources. However, source number is not a pre-condition in many practical scenarios, which could degrade the algorithm performance significantly. To settle this gap, an effective method is proposed in this paper, where an extended Cantor array is used. A Toeplitz matrix is firstly constructed based on the FOC information to avoid high computational complexity. Then an efficient estimator is built by introducing a hyperparameter in the propagator. The source number is no longer required for the Toeplitz matrix and the performance can also be retained. Simulation and experimental results elaborate on the proposed method’s superiority.</p>

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DOA estimation with extended cantor array for unknown source number

  • 期刊论文

  • 发表日期：

    2025年5月12日

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  • Chaowei Li,
  • Xuanhua Chen,
  • Jianzhong Li,
  • Zhe Fu

摘要

Fourth-order cumulants (FOC) are well adopted for direction of arrival (DOA) estimation for suppressing Gaussian noise to improve the estimation accuracy for a given number of sources. However, source number is not a pre-condition in many practical scenarios, which could degrade the algorithm performance significantly. To settle this gap, an effective method is proposed in this paper, where an extended Cantor array is used. A Toeplitz matrix is firstly constructed based on the FOC information to avoid high computational complexity. Then an efficient estimator is built by introducing a hyperparameter in the propagator. The source number is no longer required for the Toeplitz matrix and the performance can also be retained. Simulation and experimental results elaborate on the proposed method’s superiority.