对基于人工智能的动态重力计的迪克效应的分析
Wen-Zhang Wang1,2, Xi Chen1,3, Jin-Ting Li1,2
1Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China.
Sensors (Basel, Switzerland)
|December 11, 2025
概括
原子干扰仪 (AI) 动态重力计中的死时间会引起显著的重力测量噪音. 减少死亡时间和高频加速噪声是提高AI重力计精度的关键.
科学领域:
- 地质物理学和计量学
- 量子传感和仪器仪表技术
背景情况:
- 基于原子干扰仪 (AI) 的动态重力计提供了高精度的绝对重力测量,对于地球物理学,导航和资源勘探至关重要.
- 尽量减少测量噪声对于提高这些复杂仪器的性能至关重要.
研究的目的:
- 调查基于人工智能的动态重力计中的重力测量噪声,具体原因是经典加速度计的死亡时间.
- 阐明这种噪音的潜在机制,并确定有效的缓解策略.
主要方法:
- 分析来自人工智能系统的实际动态重力测量数据.
- 导出一个频域公式来解释噪声机制.
- 量化与加速度计死亡时间相关的噪声影响.
主要成果:
- 人工智能重力计的0.12秒死亡时间被证明引入了显著的重力测量噪声,达到高达8mGal.
- 通过频域分析,高频别名被确定为这种噪声的主要来源.
- 衍生表达式证实,减少死亡时间和抑制高频加速噪声是有效的对策.
结论:
- 加速度计死亡时间是导致人工智能动态重力计噪声的一个关键因素.
- 这项研究为人工智能重力计的噪声分析提供了宝贵的见解.
- 这些发现将指导未来的设计,以提高AI动态重力计的精度和可靠性.
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