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Directivity Enhancement of Movable Antenna Arrays with Mutual Coupling

Wei Xu, Lipeng Zhu, Wenyan Ma, An Liu, Rui Zhang

Abstract

In conventional antenna arrays, mutual coupling between antenna elements is often regarded as detrimental. However, under specific conditions, it can be harnessed to enhance the far-field directivity (i.e., beamforming gain). Theoretically, the directivity of an N-antenna superdirective array over the endfire direction can reach N^{2}, significantly exceeding the directivity of a traditional uncoupled array which is N over all directions. This paper investigates the potential of mutual coupling effects in movable antenna (MA) arrays for directivity enhancement. A low-complexity algorithm called Greedy Search and Gradient Descent (GS-GD) is proposed to optimize the antenna positions for maximizing the array directivity over any given direction, where the antenna positions are first selected sequentially from discrete grid points and then continuously refined through gradient descent (GD) optimization. Numerical results demonstrate that the optimized MA array design by exploiting the antenna coupling achieves significant directivity gains compared to the conventional uniform linear array (ULA) without antenna coupling over all directions. Additionally, the proposed GS-GD algorithm is shown to approach the global optimum closely in most directions.

Directivity Enhancement of Movable Antenna Arrays with Mutual Coupling

Abstract

In conventional antenna arrays, mutual coupling between antenna elements is often regarded as detrimental. However, under specific conditions, it can be harnessed to enhance the far-field directivity (i.e., beamforming gain). Theoretically, the directivity of an N-antenna superdirective array over the endfire direction can reach N^{2}, significantly exceeding the directivity of a traditional uncoupled array which is N over all directions. This paper investigates the potential of mutual coupling effects in movable antenna (MA) arrays for directivity enhancement. A low-complexity algorithm called Greedy Search and Gradient Descent (GS-GD) is proposed to optimize the antenna positions for maximizing the array directivity over any given direction, where the antenna positions are first selected sequentially from discrete grid points and then continuously refined through gradient descent (GD) optimization. Numerical results demonstrate that the optimized MA array design by exploiting the antenna coupling achieves significant directivity gains compared to the conventional uniform linear array (ULA) without antenna coupling over all directions. Additionally, the proposed GS-GD algorithm is shown to approach the global optimum closely in most directions.
Paper Structure (13 sections, 23 equations, 5 figures, 2 tables, 1 algorithm)

This paper contains 13 sections, 23 equations, 5 figures, 2 tables, 1 algorithm.

Figures (5)

  • Figure 1: Illustration of the considered linear MA array.
  • Figure 2: Directivity versus $\frac{x_{2}}{\lambda}$ for $N=2$ and $u=0,0.5,1$.
  • Figure 3: For an ULA with $d>\frac{\lambda}{2}$, approximation of $|\check{a}_{n}\left(u,x_{n}\right)|^{2}$ via (\ref{['eq:aicheck']}) against squared magnitude of (\ref{['eq:acheck']}) versus $d$ for $n=2,3$ and $u=0,0.5,1$.
  • Figure 4: Directivity of the coupled MA array compared to the ULAH in different values of $\theta$ and $d_{\max}$.
  • Figure 5: Comparison of the proposed GS-GD algorithm with baselines in different values of $\theta$.