WiPIHT:一个基于WiFi的位置独立的被动室内人类跟踪系统
Xu Xu1, Xilong Che1, Xianqiu Meng1
1School of Computer Science and Technology, Jilin University, Changchun 130012, China.
Sensors (Basel, Switzerland)
|July 12, 2025
概括
使用WiFi信号,WiPIHT可以准确地重建室内人类活动轨迹,克服现有方法的局限性,因为不需要知道发射器/接收器 (TX/RX) 的位置. 这种被动系统提供实时跟踪和轨迹分析,无需专门的硬件.
科学领域:
- 人与计算机的互动.
- 无线传感传感器是一种无线传感器.
- 室内本地化 室内本地化
背景情况:
- 传统的室内定位方法,如基于视觉的跟踪,红外线和声学,面临环境限制或需要专门的设备.
- 当前基于WiFi的人类传感方法通常依赖于WiFi指纹,需要广泛的训练,固定的环境或精确的发射器/接收器 (TX/RX) 定位,导致位置变化不稳定.
研究的目的:
- 提出WiPIHT,这是一个新的系统,用于使用商业WiFi设备稳定的室内人类活动轨迹跟踪和重建.
- 在现有的基于WiFi的轨迹重建方法中克服对已知的TX-RX位置的依赖.
- 为了实现被动,实时和准确的跟踪,而不需要用户携带设备或安装定位器.
主要方法:
- 使用一种创新的频道状态信息 (CSI) 频道分析方法.
- 通过分析CSI的自相关函数,提取位置独立的实时运动速度特征.
- 包含弗雷内尔区域和运动速度方向分解,以获得独立于TX-RX位置的运动方向变化模式.
主要成果:
- WiPIHT可以准确地重建人类活动轨迹的形状,而无需事先了解TX或人类的初始位置.
- 与现有方法相比,在跟踪精度,实时性能,设备简单性和成本方面表现出显著的优势.
- 即使在TX-RX位置不确定或发生变化时,也能实现稳定的传感性能.
结论:
- WiPIHT提供了一个强大的和实用的解决方案,用于室内人类活动轨迹的重建,使用易于使用的WiFi基础设施.
- 该系统的位置独立分析能力使其能够适应动态环境.
- 为被动,实时的人类感知和活动识别提供了具有成本效益和效率的替代方案.
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