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为了更好地分析光纤陀螺在动态环境下的性能,提出了采用动态Allan方差(DAVAR)的方法全面表征光纤陀螺的动态特性。DAVAR是一种最新提出来分析非平稳信号的方法,是Allan方差法的扩展和完善。针对高精度光纤陀螺进行分析,分别在振动和变温条件下获得实测数据,采用DAVAR计算每个样本的Allan方差,并求得五个噪声系数的二维表示,用来细化和辨识信号动态特征。实验结果表明,DAVAR法可以量化地分析光纤陀螺输出信号中各项噪声系数在动态环境下的变化情况,准确地反映陀螺的动态特性。采用DAVAR分析光纤陀螺信号,可为之后的噪声滤除提供理论支撑和实验依据。
In order to better analyze the performance of FOG in dynamic environment, a dynamic Allan variance (DAVAR) method is proposed to fully characterize the dynamic characteristics of FOG. DAVAR is a newly proposed method for analyzing non-stationary signals. It is an extension and improvement of Allan’s variance method. For the high precision fiber optic gyroscope, the measured data were obtained under vibration and temperature conditions. The DAVAR was used to calculate the Allan variance of each sample. Two dimensional representations of five noise coefficients were obtained, which were used to refine and identify the dynamic characteristics of the signal . Experimental results show that the DAVAR method can quantitatively analyze the variation of various noise coefficients in the output signal of a fiber optic gyroscope in a dynamic environment and accurately reflect the dynamic characteristics of the gyroscope. Using DAVAR to analyze fiber optic gyroscope signals can provide theoretical support and experimental basis for noise filtering afterwards.