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对RTD-Fluxgate数据的时间差处理方法的研究基于马哈拉诺比斯距离和组共差的组合
Na Pang1, Dan Wang1, Yuhan Yang1
1College of Computer Science and Technology, Beihua University, No. 3999 East Binjiang Road, Jilin 132013, China.
Sensors (Basel, Switzerland)
|November 25, 2023
概括
这项研究引入了一种新的方法来修复居住时间差 (RTD) -流门传感器测量的错误. 马哈拉诺比斯距离和组共变性方法通过减少噪音干扰,显著提高了传感器的准确性和稳定性.
科学领域:
- 地质物理学 地质物理学
- 传感器技术 传感器技术
- 信号处理 信号处理
背景情况:
- 居住时间差 (RTD) - 流通门传感器对于磁场测量至关重要.
- 传感器的准确性和稳定性受到磁芯和环境噪音引起的异常时差跳跃的限制.
- 现有的方法很难有效地减轻这些严重的错误.
研究的目的:
- 开发一种有效的方法来处理RTD-fluxgate传感器中的时间差严重错误.
- 为了提高磁场测量的准确性和稳定性.
- 将拟议的方法与现有技术进行比较.
主要方法:
- 开发了一种结合马哈拉诺比斯距离 (MD) 和组共差的新型时间差异总误差处理方法.
- 为了评估该方法的性能,进行了模拟和实验.
- 建议的方法与其他严重错误识别技术进行了比较.
主要成果:
- 拟议的马哈拉诺比斯距离和组共变率方法在识别时间差异总错误方面表现出卓越的性能.
- 时间差异的信号噪声比提高了大约34倍.
- 负磁和时间 (NMST) ΔT_NMST的波动减少了95.402%.
结论:
- 开发的方法有效地减少了时差波动,大大提高了传感器的准确性和稳定性.
- 这种方法为减轻RTD-fluxgate传感器中的噪声干扰提供了强大的解决方案.
- 这些发现为更可靠的磁场测量铺平了道路.
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