基于时间序列分析的光栅信号时域细分方法

IF 2.7
Wang Baozhu , Li Wenjuan , Peng Kai , Wang Qiang , Li Meili
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引用次数: 2

摘要

针对云纹信号质量对细分倍数和精度的限制,提出了一种基于时间序列分析的光栅信号时域细分方法。利用光栅间距与采样周期的关系,将等空间间隔转化为时间序列。基于时间序列分析的自回归模型,建立时域预测模型对采样时间进行预测,并采用极大似然估计法对模型参数进行计算。实验结果表明,当细分倍数为400和800时,细分误差均达到±2.4”。这种细分方法减少了对光栅信号质量的依赖,证明了一定的应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time Domain Subdivision Method for Optical Grating Signal Based on Time Series Analysis

Aiming at the restriction of the Moire signal quality on the subdivision multiple and accuracy, a time domain subdivision method for optical grating signals based on time series analysis is proposed. The relationship between the grating pitch and the sampling period is utilized to transform the equal space intervals into time series. A time domain prediction model is established based on the autoregressive model of time series analysis to predict the sampling time, and the parameters of the model are calculated using the maximum likelihood estimate method. Experimental results indicate that the subdivision errors both achieve ± 2.4" when the subdivision multiples are 400 and 800, respectively. This subdivision method reduces the reliance on grating signal quality, proving certain application value.

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