强大的室内定位与混合WiFi RTT-RSS信号
Xu Feng1, Khuong An Nguyen1, Zhiyuan Luo1
1Computer Science Department, Royal Holloway University of London, Egham TW20 0EX, UK.
Sensors (Basel, Switzerland)
|January 10, 2026
概括
这项研究引入了一种新的WiFi定位方法,使用符合预测 (CP) 来实现强大的室内导航. 它达到0.6米的准确度,并提供可靠的不确定性估计,改进了现有的基于WiFi的系统.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 机器人技术 机器人技术 机器人技术
背景情况:
- 准确的室内定位在2025年仍然是一个挑战.
- 现有的基于WiFi的定位系统受到信号变化和环境动态的影响.
- 需要强大的,意识到不确定性的室内定位解决方案.
研究的目的:
- 开发一种新的室内定位方法,将WiFi回程时间 (RTT) 和接收信号强度 (RSS) 与符合预测 (CP) 结合起来.
- 为了实现强大的不确定性意识的室内定位,提供准确的位置估计和预测区域.
- 在现实场景中评估拟议方法的性能和可靠性.
主要方法:
- 整合WiFi RTT和RSS测量的功能.
- 适用符合预测 (CP) 框架来量化不确定性.
- 在三个现实世界室内测试台进行系统评估.
主要成果:
- 实现了0.6米的定位精度.
- 生成的预测区域 (矩形和圆形),具有理论和边际覆盖率的保证.
- 尽管WiFi信号变化和环境动态,但表现出强大的性能.
结论:
- 提出的基于CP的方法提高了WiFi室内定位的准确性和可靠性.
- 这种方法为室内定位系统提供了有价值的不确定性量化.
- 它代表了最先进的WiFi远距离信号应用的重大进步.
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