基于双适应卡尔曼波器的光纤陀螺随机错误抑制
Hongcai Li1, Zhe Liang1, Zhaofa Zhou1
1Intelligent Control Laboratory, PLA Rocket Force University of Engineering, Xi'an 710025, China.
Micromachines
|August 28, 2025
概括
这项研究引入了一种新的递归动态艾伦方差方法来提高光纤陀螺仪的精度. 该方法通过调整卡尔曼波器参数来增强对角随机步行错误的抑制.
科学领域:
- 仪器设备
- 信号处理
背景情况:
- 光纤陀螺仪 (FOG) 冲击测量准确性的随机错误
- 时间变化的错误特征降低了传统的错误抑制算法.
研究的目的:
- 为实时计算动态艾伦方差开发一种改进的方法.
- 提高FOG随机错误抑制算法的性能.
主要方法:
- 提出了一个递归动态的艾伦方差计算,以克服传统方法的局限性.
- 开发了一种双适应卡尔曼波器,将递归动态艾伦方差与卡尔曼波过程方差估计集成.
- 进行了静态和动态验证实验.
主要成果:
- 拟议的递归动态艾伦方差方法提供了更好的实时性能和减少光谱泄漏.
- 双适应卡尔曼波器自主调整模型参数和噪声差异.
- 实验结果显示抑制角随机步行错误的显著增强.
结论:
- 这种新方法有效地解决了FOG的时间变化的错误特征.
- 与现有的算法相比,拟议的方法提供了优越的随机错误抑制.
- 这种进步提高了光纤陀螺仪的整体精度和可靠性.
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