优化一个到达时间-峰估计代模型,用于在长线区域内超宽带定位
Mengqian Li1, Mingduo Li1,2, Jinhua Wang1
1College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China.
Sensors (Basel, Switzerland)
|April 12, 2025
概括
本研究引入了一种全新的超宽带 (UWB) 定位算法TOA-RR,以提高在道等长线性环境中的准确性. 新方法显著提高了本地化稳定性和精度,在传统的UWB系统失败的情况下.
科学领域:
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
- 信号处理 信号处理
背景情况:
- 超宽带 (UWB) 技术提供高精度的室内定位,但在线性基站部署的环境中难以实现.
- 道和走廊等长线性区域的结构约束降低了UWB定位的准确性,使传统算法无效.
研究的目的:
- 开发一个高精度的超宽带 (UWB) 定位算法,用于在长线性环境中准确定位.
- 解决现有的UWB本地化方法在近线性基站安排的场景中的局限性.
主要方法:
- 提出了一个新的UWB+TOA-R定位算法,将Ridge估计作为一个约束.
- 开发了一种代计算的到达时间-山脊估计代 (TOA-RR) 解决方案模型,并进行了精细的代计算.
- 在长线走廊中比较了TOA-最小平方 (TOA-LS),TOA-估计 (TOA-R) 和拟议的TOA-RR模型的性能.
主要成果:
- 由于系数矩阵异常,TOA-LS模型表现出显著的坐标扭曲.
- TOA-R模型显示了更好的准确性和稳定性,但保留了剩余的错误.
- 拟议的TOA-RR模型实现了增强的稳定性和精度,定位误差约为0.5米.
结论:
- TOA-RR算法有效地解决了长线性区域中不准确的UWB定位的挑战.
- 拟议的方法为UWB定位在受限制的线性环境中提供了强大而准确的解决方案.
- 这项研究为道,走廊和类似环境中的UWB应用提供了重大进展.
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