4.7 Article

Non-Circular Sources DOA Estimation for Coprime Array With Impulsive Noise: A Novel Augmented Phased Fractional Low-Order Moment

期刊

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
卷 71, 期 10, 页码 10559-10569

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2022.3184385

关键词

Estimation; Direction-of-arrival estimation; Phased arrays; Array signal processing; Signal processing algorithms; Sun; Multiple signal classification; Direction of arrival (DOA); coprime array; non-circular (NC) signal; phased fractional low-order moment (PFLOM); sum-difference co-array

资金

  1. China NSF [61971217, 61971218, 61631020, 62101250, 62101251]
  2. Jiangsu NSF [BK20200444]
  3. National Key Research and Development Project [2020YFB1807602]
  4. Sonar Technology Key Laboratory

向作者/读者索取更多资源

This paper proposes an extension of the coprime array to practical communication scenarios by considering impulsive noise and non-circular signals. An augmented phased fractional low-order moment (A-PFLOM) is introduced to suppress impulsive noise, and reduced-dimension MUSIC (RD-MUSIC) subspace techniques are applied to estimate the direction of arrival (DOA) of non-circular sources. The proposed method shows better estimation performance in a wide range of impulsive noise environments compared to existing methods.
The coprime array has become an essential part of array signal processing, which can obtain a much higher degrees of freedom (DOFs) and larger aperture than that of the conventional approaches. However, this technique is applied in the ideal condition with white Gaussian noise. In this paper, we propose to extend the coprime array to the practical communication scenario by taking impulsive noise and non-circular signals into account. An augmented phased fractional low-order moment (A-PFLOM) is proposed to suppress impulsive noise, and then reduced-dimension MUSIC (RD-MUSIC) subspace techniques are applied for direction of arrival (DOA) information of non-circular sources. Compared to the existing methods, the proposed method has better estimation performance in a wide range of impulsive noise environments.

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