基于异步调控的时间调控超表面DOA估计方法

易鸣; 陈明; 钟州; 金梁

doi:10.11959/j.issn.1000-0801.2025005

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基于异步调控的时间调控超表面DOA估计方法

研究与开发 | 更新时间：2025-02-07

- 基于异步调控的时间调控超表面DOA估计方法
- DOA estimation method for time-varying metasurface based on asynchronous modulation
- 电信科学 2025年41卷第1期页码：65-74
- 作者机构：
  
  信息工程大学，河南郑州 450002
- 作者简介：
  
  [ "易鸣（1986- ），男，信息工程大学副研究员、硕士生导师，主要研究方向为智能超表面、物理层安全、阵列信号处理等。" ]
  [ "陈明（1999- ），男，信息工程大学硕士生，主要研究方向为智能超表面、无线通信、物理层安全、阵列信号处理等。" ]
  [ "钟州（1982- ），男，信息工程大学副研究员、硕士生导师，主要研究方向为无线通信、物理层安全等。" ]
  [ "金梁（1969- ），男，信息工程大学教授、博士生导师，主要研究方向为智能超表面、无线内生安全、移动通信、物理层安全等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(U22A2001);自主科研项目“基于智能反射面的单通道测向定位技术研究”(a8709)
- DOI：10.11959/j.issn.1000-0801.2025005
  中图分类号： TP928
- 收稿日期：2024-07-30，
  
  修回日期：2024-10-10，
  
  纸质出版日期：2025-01-20
- 稿件说明：
移动端阅览
易鸣,陈明,钟州等.基于异步调控的时间调控超表面DOA估计方法[J].电信科学,2025,41(01):65-74.

YI Ming,CHEN Ming,ZHONG Zhou,et al.DOA estimation method for time-varying metasurface based on asynchronous modulation[J].Telecommunications Science,2025,41(01):65-74.
易鸣,陈明,钟州等.基于异步调控的时间调控超表面DOA估计方法[J].电信科学,2025,41(01):65-74. DOI： 10.11959/j.issn.1000-0801.2025005.

YI Ming,CHEN Ming,ZHONG Zhou,et al.DOA estimation method for time-varying metasurface based on asynchronous modulation[J].Telecommunications Science,2025,41(01):65-74. DOI： 10.11959/j.issn.1000-0801.2025005.

摘要

针对现有时间维度波达方向（direction of arrival，DOA）估计方案中，时间调控速率受限导致目标信号频谱混叠的问题，提出了一种基于异步调控的DOA估计方法，该方法能够有效提升调控速率，进而提升信号处理的信号带宽。在不改变时间调控超表面（time-varying metasurface，TVM）硬件约束的情况下，该方法利用单元状态会持续一段时间的性质，交错不同列单元的变化起始时间，在一个状态持续时间内获得了多个不同的响应。异步调控方法能够使TVM在受材料限制的情况下，等效增加虚拟多通道个数，提高DOA估计的精度。仿真结果验证了方法的有效性，相较于现有的同步调控方法，新方法在DOA估计性能上有了较大提升，能够逼近理论上的最优DOA估计结果。

Abstract

In response to the challenge of spectral aliasing in target signals

which arose from constraints on the temporal modulation rate in existing time-domain direction of arrival (DOA) estimation methods

a novel asynchronous control-based DOA estimation technique was proposed. This approach significantly increased the modulation rate

effectively mitigating the problem of spectral aliasing and consequently broadening the signal processing bandwidth. This novel approach capitalized on the inherent persistence of unit states over a duration

without necessitating any alterations to the hardware constraints of the time-varying metasurface (TVM). By staggering the initiation of state changes across various column units

the method enabled the acquisition of multiple distinct responses within a single state’s temporal window. The asynchronous modulation strategy effectively augmented the virtual channel count under the limitations imposed by material properties

thereby enhancing the precision of DOA estimation. Empirical simulation outcomes substantiated the efficacy of this approach

demonstrating a significant enhancement in DOA estimation performance compared to existing synchronous modulation techniques

closely approximating the theoretical optimum for DOA estimation outcomes.

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references

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