改进强度跟踪立方卡尔曼波器用于UWB定位
Yuxiang Pu1, Xiaolong Li1,2, Yunqing Liu1,2
1Institute of Electronic Information Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Sensors (Basel, Switzerland)
|September 9, 2023
概括
这项研究介绍了用于无线超宽带 (UWB) 定位系统的改进强度跟踪立方卡尔曼波器 (ISTCKF). ISTCKF算法显著减少了由非视线 (NLOS) 问题和不准确模型引起的定位错误.
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:
- 无线超宽带 (UWB) 定位系统面临着非视线 (NLOS) 观测错误的挑战.
- 不准确的预测动力学模型进一步降低了UWB定位的精度.
研究的目的:
- 提出一个改进的强跟踪立方卡尔曼波器 (ISTCKF) 定位算法.
- 解决NLOS错误并提高UWB定位系统的准确性.
主要方法:
- 从预测动态和最小方程中重权结果使用观察结果的重建.
- 通过分析原始和重建数据之间的统计差异来确定NLOS观测.
- 根据NLOS识别计算色因子,以减轻定位错误.
主要成果:
- ISTCKF算法有效地减轻了UWB系统中的观测噪声和主要定位错误.
- 实验结果显示,定位误差显著减少:STCKF相比55.2%,ACKF相比32.3%,RSTCKF相比28.9%.
- 拟议的ISTCKF算法在定位准确性和系统稳定性方面取得了实质性的改进.
结论:
- ISTCKF算法为提高UWB定位精度提供了一个强大的解决方案.
- 这种方法有效地处理NLOS错误,并提高UWB定位系统的可靠性.
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