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基于未来网络的直接路径识别和跟踪的本地化增强方法.
1School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
这项研究引入了一种新方法,通过追踪直接信号路径来提高物联网 (IoT) 定位精度,即使在具有挑战性的非视线 (NLOS) 条件下.
科学领域:
- 无线通信是一种无线通信.
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
- 定位和定位位置的定位和定位.
背景情况:
- 准确的本地化对于物联网 (IoT) 应用程序至关重要.
- 动态无线电环境和非视线 (NLOS) 传播会降低定位的准确性和连续性.
研究的目的:
- 为物联网设备开发和验证一种新的本地化增强方法.
- 为了应对NLOS传播和无线电环境动态所带来的挑战.
主要方法:
- 提出了一种用于直接路径识别和跟踪的方法.
- 实施的视线 (LOS) 到NLOS的过渡识别.
- 利用超宽带 (UWB) 信号进行实验验证.
主要成果:
- 在广泛的测试中,在0.3m以下的平方中位数定位误差中取得了根值.
- 显著减少了范围和定位错误.
- 在严峻的NLOS条件下成功保持连续局部化.
结论:
- 拟议的方法在具有挑战性的物联网环境中大大提高了本地化准确性.
- 有效的直接路径跟踪克服了NLOS传播问题.
- 该方法可确保移动用户设备 (UE) 的可靠和持续本地化.
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