在超宽带室内定位中改进了基于Levenberg-Marquart算法的Kalman过算法
Changping Xie1, Xinjian Fang1, Xu Yang1,2
1School of Geomatics, Anhui University of Science and Technology, Huainan 232001, China.
Sensors (Basel, Switzerland)
|November 27, 2024
概括
本研究介绍了使用卡尔曼过和莱文伯格-马奎特方法改进的超宽带 (UWB) 定位算法. 增强的算法实现了室内定位系统的高精度和稳定性.
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:
- 当前的室内定位算法由于准确性不足而受到影响.
- 超宽带 (UWB) 技术为精确的室内定位提供了潜力.
研究的目的:
- 为了提高室内定位系统的准确性和稳定性.
- 提出一个改进的UWB定位算法,采用先进的过技术.
主要方法:
- 使用替代双面双向测距 (ADS-TWR) 算法进行距离测量.
- 使用Levenberg-Marquardt算法来改进卡尔曼波器的共变矩阵.
- 应用了改进的卡尔曼过方法,以精确地估计室内位置.
主要成果:
- 马特拉布模拟证实了算法的可行性和有效性.
- 在视线环境 (LOS) 中的实验验证,平均误差为6.9mm (X轴) 和5.4mm (Y轴),RMSE为10.8mm.
- 在非视线 (NLOS) 环境中,平均误差为20.8mm (X轴) 和18.0mm (Y轴),RMSE为28.9mm.
结论:
- 拟议的UWB定位算法表现出高精度和稳定性.
- 改进的卡尔曼过显著提高了定位性能和融合速度.
- 这种方法为准确的室内定位挑战提供了强大的解决方案.
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