用光纤陀螺仪进行动态北方查找的细分交叉相关算法
Shuwei Fang1, Shanjun Mao1, Yanjun Chen2
1Institute of Remote Sensing and Geographic Information System, Peking University, Beijing 100871, China.
Sensors (Basel, Switzerland)
|January 23, 2024
概括
这项研究引入了细分交叉相关算法,以改善光纤陀螺仪 (FOG) 北方在动态条件下发现精度. 新方法显著减少了由转盘速度动引起的错误,提高了导航系统的性能.
科学领域:
- 导航和定位系统 导航和定位系统
- 光学工程是指光学工程.
- 信号处理 信号处理
背景情况:
- 光纤陀螺仪 (FOG) 对于导航和定位至关重要.
- 动态的北方寻找需要加速的转盘速度,以获得更快的响应.
- 增加的转盘速度引入动,降低FOG准确性.
研究的目的:
- 开发一种新的算法,以减轻由转盘速度动引起的北方查找错误.
- 建立和分析一个寻找北方的错误模型,考虑FOG自我噪声和转盘动.
- 通过模拟和实验验证拟议的算法.
主要方法:
- 实现一个细分的交叉相关算法,用于动态北方查找.
- 开发一个数学模型用于北方查找错误.
- 使用FOG系统与模拟和现实世界的实验进行验证.
主要成果:
- 拟议的算法有效地减少了来自转盘速度不稳定的错误.
- 模拟和实验显示与开发的错误模型有很强的一致性.
- 在180°/s,北方查找准确度得到了64%的改进 (0.052°偏差误差).
结论:
- 分段交叉相关算法为动态北方查找提供了强大的解决方案.
- 该方法提高了北方寻找系统的速度和准确性.
- 这种进步对于需要精确和快速导航的应用至关重要.
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