Noncircular coherent signal direction of arrival estimation for coprime array: A subspace‐based interpolation approach

Abstract To address the array aperture loss caused by mainstream direction of arrival (DOA) estimation algorithms for coherent signals using matrix interpolation techniques, a non‐circular (NC) coherent signal direction‐finding method that fully utilises covariance matrix information is proposed. The received data is firstly extended by leveraging its NC properties. Then, eigenvalue decomposition is performed on the covariance matrix to extract the signal subspace, which is mapped to a uniform linear array signal subspace via a mapping matrix. The first row of the covariance matrix corresponding to the signal subspace is employed to construct a Toeplitz matrix, and nuclear norm minimisation method is applied to recover the missing information. Finally, to avoid extra NC phase searching, the reduced‐dimension method is applied to obtain the estimation results. Performance analysis and simulation results show that the proposed algorithm achieves improvements in computational complexity, source estimation capability, and estimation accuracy.

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Publication Details

Journal
IET Radar Sonar & Navigation
Published
2024-12-01
DOI
https://doi.org/10.1049/rsn2.12675
Primary Topic
Direction-of-Arrival Estimation Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Noncircular coherent signal direction of arrival estimation for coprime array: A subspace‐based interpolation approach

Zihan Shen, Jiaqi Li, Hao Hu, Xiaofei Zhang
IET Radar Sonar & Navigation
Direction-of-Arrival Estimation Techniques
article

Noncircular coherent signal direction of arrival estimation for coprime array: A subspace‐based interpolation approach

Zihan Shen, Jiaqi Li, Hao Hu, Xiaofei Zhang
article en

Abstract

Abstract To address the array aperture loss caused by mainstream direction of arrival (DOA) estimation algorithms for coherent signals using matrix interpolation techniques, a non‐circular (NC) coherent signal direction‐finding method that fully utilises covariance matrix information is proposed. The received data is firstly extended by leveraging its NC properties. Then, eigenvalue decomposition is performed on the covariance matrix to extract the signal subspace, which is mapped to a uniform linear array signal subspace via a mapping matrix. The first row of the covariance matrix corresponding to the signal subspace is employed to construct a Toeplitz matrix, and nuclear norm minimisation method is applied to recover the missing information. Finally, to avoid extra NC phase searching, the reduced‐dimension method is applied to obtain the estimation results. Performance analysis and simulation results show that the proposed algorithm achieves improvements in computational complexity, source estimation capability, and estimation accuracy.

IET Radar Sonar & NavigationVol. 18(12)
NARI Group (China) (CN), Ministry of Industry and Information Technology (CN), Nanjing University of Aeronautics and Astronautics (CN)
National Science Foundation
Openalex Percentile: Top 75%
Direction-of-Arrival Estimation Techniques
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Noncircular coherent signal direction of arrival estimation for coprime array: A subspace‐based interpolation approach — Zihan Shen, Jiaqi Li, et al. · IET Radar Sonar & Navigation (2024) | TGRS Research Map | TGRS