Efficient 2-D Direction Finding Based on the Real-valued Subspace Linear Transformation with Nonuniform Circular Array

MENG Xiangtian; JING Zhehan; CAO Bingxia; SHA Minghui; ZHU Yingshen; YAN Fenggang

doi:10.11999/JEIT240188

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MENG Xiangtian, JING Zhehan, CAO Bingxia, SHA Minghui, ZHU Yingshen, YAN Fenggang. Efficient 2-D Direction Finding Based on the Real-valued Subspace Linear Transformation with Nonuniform Circular Array[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240188

Citation:

MENG Xiangtian, JING Zhehan, CAO Bingxia, SHA Minghui, ZHU Yingshen, YAN Fenggang. Efficient 2-D Direction Finding Based on the Real-valued Subspace Linear Transformation with Nonuniform Circular Array[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240188

Citation:

MENG Xiangtian, JING Zhehan, CAO Bingxia, SHA Minghui, ZHU Yingshen, YAN Fenggang. Efficient 2-D Direction Finding Based on the Real-valued Subspace Linear Transformation with Nonuniform Circular Array[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240188

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Efficient 2-D Direction Finding Based on the Real-valued Subspace Linear Transformation with Nonuniform Circular Array

doi: 10.11999/JEIT240188

1.
School of Information Science and Engineering, Harbin Institute of Technology(Weihai), Weihai 264209, China
2.
School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China
3.
Beijing Institute of Radio Measurement, Beijing 100854, China

Funds: The National Natural Science Foundation of China (62171150), Taishan Scholar Special Funding Project of Shandong Province (tsqn202211087), Shandong Provincial Natural Science Foundation (ZR2023MR091), Aeronautical Science Foundation of China (2023Z037077002).

Received Date: 2024-03-20
Rev Recd Date: 2024-10-09

Available Online: 2024-10-15

Abstract

Abstract

The central symmetry based on the virtual array is a necessary fundamental assumption for the structure transformation of Uniform Circular Arrays (UCAs). In this paper, the virtual signal model for circular arrays is used to make an eigen analysis, and an efficient two-dimensional direction finding algorithm is proposed for arbitrary UCAs and Non Uniform Circular Arrays (NUCAs), where the structure transformation of linear arrays is avoided. As such, the forward/backward average of the array covariance matrix (FBACM) and the sum-difference transformation method after separating the real and imaginary parts are both utilized to obtain the manifold and real-valued subspace with matching dimensions. Moreover, the linear relationship between the obtained real-valued subspace and the original complex-valued subspace is revealed, where the spatial spectrum is reconstructed without fake targets. The proposed method can be generalized to NUCAs, enhancing the adaptability of real-valued algorithms to circular array structures. Numerical simulations are applied to demonstrate that with significantly reduced complexity, the proposed method in this paper can provide similar performances and better angle resolution as compared to the traditional UCAs based on the mode-step. Meanwhile, the proposed method demonstrates high robustness with amplitude and phase errors in practical scenarios.
- Direction Of Arrival (DOA),
- Real-valued Estimation,
- Circular Array

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References(19)

References

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