A 2D DOA estimation algorithm based on a large-spacing non-uniform L-shaped array

Abstract The mutual coupling effect between sensors is one of the key considerations in array antenna design. The presence of mutual coupling significantly degrades the performance of traditional direction of arrival (DOA) estimation algorithms. To mitigate mutual coupling between elements and enhance the accuracy of DOA estimation, a large-spacing L-shaped array is proposed. This array consists of two linear arrays with large element spacing, each of which is formed by two uniform sub-arrays featuring specific spacing relationships. Hence it can reduce the mutual coupling effect within the array effectively. Based on the proposed array, a multiple extended two-dimensional (2D) estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm is proposed. Compared to many existing similar algorithms, the proposed method exhibits automatic pairing of direction parameters, while also achieving higher estimation accuracy. The effectiveness and superiority of the algorithm are demonstrated through comprehensive simulation experiments.

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Publication Details

Journal
Journal on Advances in Signal Processing
Published
2026-03-31
DOI
https://doi.org/10.1186/s13634-026-01320-4
Primary Topic
Direction-of-Arrival Estimation Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

A 2D DOA estimation algorithm based on a large-spacing non-uniform L-shaped array

Sheng Liu, Decheng Wu, Jing Zhao (21160)
Journal on Advances in Signal Processing
Direction-of-Arrival Estimation Techniques
article

A 2D DOA estimation algorithm based on a large-spacing non-uniform L-shaped array

Sheng Liu, Decheng Wu, Jing Zhao (21160)
article en

Abstract

Abstract The mutual coupling effect between sensors is one of the key considerations in array antenna design. The presence of mutual coupling significantly degrades the performance of traditional direction of arrival (DOA) estimation algorithms. To mitigate mutual coupling between elements and enhance the accuracy of DOA estimation, a large-spacing L-shaped array is proposed. This array consists of two linear arrays with large element spacing, each of which is formed by two uniform sub-arrays featuring specific spacing relationships. Hence it can reduce the mutual coupling effect within the array effectively. Based on the proposed array, a multiple extended two-dimensional (2D) estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm is proposed. Compared to many existing similar algorithms, the proposed method exhibits automatic pairing of direction parameters, while also achieving higher estimation accuracy. The effectiveness and superiority of the algorithm are demonstrated through comprehensive simulation experiments.

Journal on Advances in Signal Processing
Chongqing University of Posts and Telecommunications (CN), Jishou University (CN), Tongren University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 13%
Direction-of-Arrival Estimation Techniques
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