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基于互质阵列的堆叠智能超表面及二维DOA估计

赖欣1,2,陈小瑜3,张小飞4   

  1. 1. 南京航空航天大学
    2. 香港科技大学
    3. 泉州师范学院
    4. 南京航空航天大学,电子信息工程学院,通信与信息系统专业
  • 收稿日期:2026-04-28 修回日期:2026-07-29 出版日期:2026-07-30 发布日期:2026-07-30
  • 通讯作者: 张小飞
  • 基金资助:
    国家自然科学基金;国家自然科学基金

Coprime Array Stacked Intelligent Meta-surfaces for Two-Dimensional Di-rection of Arrival Estimation

  • Received:2026-04-28 Revised:2026-07-29 Online:2026-07-30 Published:2026-07-30

摘要: 堆叠智能超表面(Stacked Intelligent Metasurface, SIM)通过在衍射超原子层间模拟电磁波传播,能够在射频前端以光速实现波域信号处理,为突破传统数字方法的高延迟与高能耗瓶颈提供了新范式。针对二维波达方向估计问题(Two Dimensional Direction of Arrival, 2D-DOA),本文提出一种基于互质阵列的堆叠智能超表面(Coprime Array Stacked Intelligent Meta-surface, CA-SIM)与角度估计方法。CA-SIM由两个单元间距满足互质关系的级联子SIM构成,在相同超表面单元数量下有效扩展了阵列孔径。在相位优化阶段,采用自适应动量估计方法分别优化各子SIM中间层的相位分布,使其端到端响应精确逼近二维离散傅里叶变换(Two Dimensional Discrete Fourier Transform, 2D-DFT)估计器。在角度估计阶段,利用输入层可重构超表面(Reconfigurable Intelligent meta-Surface, RIS)的相位旋转实现空间谱的精细化搜索,并基于互质特性唯一消除子SIM估计的模糊角度估计。仿真结果表明,所提CA-SIM架构在优化收敛速度与二维DOA估计精度上均具有显著优势。

关键词: 阵列信号处理, 波达方向估计, 稀疏阵列, 互质阵列, 可重构智能超表面

Abstract: Stacked intelligent metasurface (SIM) enables wave-domain signal processing at the speed of light by emulating elec-tromagnetic wave propagation across diffractive meta-atom layers, offering a new paradigm to overcome the high latency and energy consumption bottlenecks of conventional digital methods. Aiming at two-dimensional direction-of-arrival (2D-DOA) estimation, this paper proposes a coprime array stacked intelligent metasurface (CA-SIM) architec-ture. The proposed architecture consists of two cascaded sub-SIMs whose element spacings satisfy a coprime rela-tionship, effectively extending the array aperture without increasing the number of meta-atoms. In the optimization phase, an adaptive momentum estimation method is employed to optimize the phase distributions of the intermediate layers in each sub-SIM, enabling their end-to-end responses to accurately approximate two-dimensional discrete Fou-rier transform (2D-DFT) estimators. In the estimation phase, phase rotations of the reconfigurable intelligent surface (RIS) input layer are utilized to perform refine spatial spectrum searching, while the coprime property uniquely re-solves the ambiguous angle estimates from the sub-SIMs. Simulation results demonstrate that the proposed CA-SIM architecture achieves significant advantages in both optimization convergence speed and 2D-DOA estimation accura-cy.

Key words: array signal processing, direction of arrival estimation, sparse array, coprime array, reconfigurable intelligent meta-surface

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