论文标题
振动校准中嘈杂波形从嘈杂波形中提取精确的正弦信号
Precise sinusoidal signal extraction from noisy waveform in vibration calibration
论文作者
论文摘要
正弦振动参数的精确提取对于振动传感器（例如加速度计）的动态校准至关重要。但是，几种标准方法尚未针对大型背景噪声进行优化。在这项工作中，讨论了在加速度计校准的情况下从嘈杂数据中提取小振动信号的信号处理方法。结果表明，光谱泄漏降低了校准精度。根据理论计算，模拟和实验，研究了基于过滤器，窗口函数和数值分化的三种方法。这些方法可以有效地减少校准系统噪声的贡献。日本国家计量学院微振动校准的不确定性通过使用所提出的方法减少了两种幅度。这项工作中的理论分析可以为在振动校准中优化信号处理的基础，并可以应用于其他动态校准场。
Precise extraction of sinusoidal vibration parameters is essential for the dynamic calibration of vibration sensors, such as accelerometers. However, several standard methods have not yet been optimized for large background noise. In this work, signal processing methods to extract small vibration signals from noisy data in the case of accelerometer calibration is discussed. The results show that spectral leakage degrades calibration accuracy. Three methods based on the use of a filter, window function, and numerical differentiation are investigated with theoretical calculations, simulations, and experiments. These methods can effectively reduce the contribution of the calibration system noise. The uncertainty of micro vibration calibration in the National Metrology Institute of Japan is reduced by two orders of magnitudes using the proposed methods. The theoretical analyses in this work can lay the foundation for the optimization of signal processing in vibration calibration, and can be applied to other dynamic calibration fields.
