Accurate Parametric Analytic Manifold Using a Nonlinear Mutual Coupling Model

The precise mutual coupling model is the key to obtain an accurate parametric analytic manifold, which is the prerequisite to achieve super-resolution direction of arrival estimation and highprecision beamforming. The widely used mutual coupling model is linear and cannot describe the direction-dependent characteristics of mutual coupling, which leads to serious performance deterioration of array signal processing algorithms. In this letter, a new non-linear mutual coupling model named high-order broad mutual coupling matrix (MCM) is established based on the Taylor expansion to describe the directional dependent coupling relationship between two adjacent antenna elements. Then, an accurate parametric analytic manifold using a finite-order approximation of the high-order broad MCM is yield by the antenna pattern reconstruction method. Numerical examples verify that the array manifold reconstruction errors can be reduced exponentially by the proposed parametric analytic manifold. Especially when the piecewise fitting strategy is adopted, the reconstruction errors of the fourth-order approximated analytic manifold can be reduced to less than 1% of those of the conventional array manifold.

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Publication Details

Journal
IEEE Antennas and Wireless Propagation Letters
Published
2025-06-06
DOI
https://doi.org/10.1109/lawp.2025.3576818
Citations
1
Primary Topic
3D Shape Modeling and Analysis
Type
article
Field-Weighted Citation Impact
1.33
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article

Accurate Parametric Analytic Manifold Using a Nonlinear Mutual Coupling Model

Ting Shu, Shuoshuo Song, Xiaofeng Ma, Binyun Yan
1 citations
IEEE Antennas and Wireless Propagation Letters
3D Shape Modeling and Analysis
1.33
article

Accurate Parametric Analytic Manifold Using a Nonlinear Mutual Coupling Model

Ting Shu, Shuoshuo Song, Xiaofeng Ma, Binyun Yan
article en
1 citations

Abstract

The precise mutual coupling model is the key to obtain an accurate parametric analytic manifold, which is the prerequisite to achieve super-resolution direction of arrival estimation and highprecision beamforming. The widely used mutual coupling model is linear and cannot describe the direction-dependent characteristics of mutual coupling, which leads to serious performance deterioration of array signal processing algorithms. In this letter, a new non-linear mutual coupling model named high-order broad mutual coupling matrix (MCM) is established based on the Taylor expansion to describe the directional dependent coupling relationship between two adjacent antenna elements. Then, an accurate parametric analytic manifold using a finite-order approximation of the high-order broad MCM is yield by the antenna pattern reconstruction method. Numerical examples verify that the array manifold reconstruction errors can be reduced exponentially by the proposed parametric analytic manifold. Especially when the piecewise fitting strategy is adopted, the reconstruction errors of the fourth-order approximated analytic manifold can be reduced to less than 1% of those of the conventional array manifold.

IEEE Antennas and Wireless Propagation LettersVol. 24(9)
Shanghai Jiao Tong University (CN), Nanjing University of Science and Technology (CN)
Openalex Percentile: Top 23%
3D Shape Modeling and Analysis
1.33
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Accurate Parametric Analytic Manifold Using a Nonlinear Mutual Coupling Model — Ting Shu, Shuoshuo Song, et al. · IEEE Antennas and Wireless Propagation Letters (2025) | TGRS Research Map | TGRS