基于单天线多载波的轻量化感知技术研究

姜禹; 王佳东; 胡爱群; 丁璠

doi:10.12263/DZXB.20231136

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基于单天线多载波的轻量化感知技术研究

学术论文 | 更新时间：2026-05-07

- 基于单天线多载波的轻量化感知技术研究
- Research on Lightweight Sensing Technology Based on Single Antenna and Multiple Subcarriers
- 电子学报 2024年52卷第10期页码：3409-3423
- 作者机构：
  
  1.东南大学网络空间安全学院，江苏南京 210096
  2.网络通信与安全紫金山实验室，江苏南京 210096
  3.江苏省计算机网络技术重点实验室，江苏南京 210096
  4.中国移动通信国家重点实验室，江苏南京 210096
  5.东南大学移动信息通信与安全前沿科学中心，江苏南京 210096
  6.东南大学交通学院，江苏南京 210096
- 作者简介：
  
  [ "姜禹男，1981年生，现为东南大学网络空间安全学院副教授，主要研究领域为无线感知技术、物理层安全、无线网络安全、RFID技术、物联网技术.E-mail: jiangyu@seu.edu.cn" ]
  [ "王佳东男，1998年生，现为东南大学网络空间安全学院硕士研究生，主要研究方向为无线感知技术在网络安全领域的应用. E-mail: jiadong_wang@126.com" ]
  [ "胡爱群男，1964年生，现为东南大学信息科学与工程学院教授，主要研究领域为无线物理层安全、移动通信内生安全理论与技术. E-mail: aqhu@seu.edu.cn" ]
  [ "丁璠男，1989年生，现为东南大学交通学院讲师，主要研究领域为交通大数据建模、智能交通系统. E-mail: fding5@seu.edu.cn" ]
- 基金信息：
  
  国家重点研发计划项目(2022YFB4300300)
- DOI：10.12263/DZXB.20231136
  中图分类号： TN929.5;
- 收稿：2023-12-05，
  
  修回：2024-03-29，
  
  纸质出版：2024-10-25
- 稿件说明：
移动端阅览
姜禹, 王佳东, 胡爱群, 等. 基于单天线多载波的轻量化感知技术研究[J]. 电子学报, 2024, 52(10): 3409-3423.

JIANG Yu, WANG Jia-dong, HU Ai-qun, et al. Research on Lightweight Sensing Technology Based on Single Antenna and Multiple Subcarriers[J]. Acta Electronica Sinica, 2024, 52(10): 3409-3423.
姜禹, 王佳东, 胡爱群, 等. 基于单天线多载波的轻量化感知技术研究[J]. 电子学报, 2024, 52(10): 3409-3423. DOI：10.12263/DZXB.20231136

JIANG Yu, WANG Jia-dong, HU Ai-qun, et al. Research on Lightweight Sensing Technology Based on Single Antenna and Multiple Subcarriers[J]. Acta Electronica Sinica, 2024, 52(10): 3409-3423. DOI：10.12263/DZXB.20231136

摘要

现有的WiFi感知方法对数据的采集量及接收器的硬件资源需求较高，同时海量的数据处理也会消耗大量软硬件资源.基于模型的WiFi感知方法通过建立动作模式与信号变化之间的数学模型，一定程度上降低了对数据量的依赖，但是主流方案仍然需要多个接收天线或者天线阵列.本文提出一种使用单天线接收器的感知方案，利用不同子载波的信道状态信息的比值消除硬件及噪声干扰，并提出基于方差和极差的子载波组合选择算法，筛选出优质的子载波组合得到动作特征.进一步提出基于菲涅尔区理论的高可用特征生成算法，巧妙地结合反射路径变化与信道状态信息（Channel State Information，CSI）动态相位旋转之间的关系，通过在复平面上的数据拟合与相位对齐获得高可用特征.理论分析和实验结果表明，本文提出的单天线方案完全符合菲涅尔区理论，同时，可以有效提升不同动作在不同场景下的识别效果.对于七种不同的动作，本文方案的总体识别准确率保持在95%左右，CSI选择和特征强化获得了约2%的准确率提升.

Abstract

The existing WiFi sensing methods have high requirements for data collection and receiver hardware resources. At the same time

massive data processing will also consume a lot of hardware and software resources. The model-based WiFi sensing method reduces the dependence on the amount of data to a certain extent by establishing a mathematical model between the action mode and the signal change

but the mainstream solution still requires multiple receiving antennas or antenna arrays. This paper proposes a sensing scheme using a single-antenna receiver for the first time

using the ratio of channel state information (CSI) of different subcarriers to eliminate hardware and noise interference

and proposes a subcarrier combination selection algorithm based on variance and range to screen out high-quality subcarriers combination to get action features. A high-availability feature generation algorithm based on Fresnel zone theory is further proposed

which skillfully combines the relationship between reflection path changes and CSI dynamic phase rotation

and obtains high-availability features through data fitting and phase alignment on the complex plane. Both theoretical analysis and experimental results show that the single-antenna scheme proposed in this paper fully complies with the Fresnel zone theory

and at the same time

it can effectively improve the recognition effect of different actions in different scenarios. For the seven different actions in this paper

the overall recognition accuracy of the scheme is maintained at about 95%

and CSI selection and feature enhancement achieved an accuracy improvement of approximately 2%.

关键词

Keywords

references

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