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基于最优窗的陀螺随机信号动态方差分析新方法研究

Reaserch on A New DAVAR Method of FOG Random Signal Processing Based on Optimal Window
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摘要 针对Allan方差分析不能辨识光纤陀螺(fiber optic gyroscope,FOG)信号非平稳性的不足,提出采用动态Allan方差(dynamic Allan variance,DAVAR)对FOG信号非平稳特性进行分析,采用二维表示法定量描述FOG各主要噪声系数变化过程.为抑制DAVAR分析过程中采用单一矩形窗造成的功率泄露,通过理论分析与实验比较,提出了基于最优窗的FOG随机信号DAVAR分析方法.选用FOG静态测试数据和振动测试数据进行DAVAR实验分析,结果表明,在DAVAR分析过程中,通过对拟合计算得到的各噪声系数进行二维显示,可准确反映FOG各噪声系数的变化特征;基于最优窗的DAVAR分析方法,抑制了单一矩形窗造成的功率泄露,提高了FOG各噪声系数的辨识精度.该方法可作为FOG信号非平稳性分析的一种有效工具,为研究各干扰因素对FOG精度的影响提供理论参考和评价依据. As the Allan variance method is insufficient for recognizing the instability of FOG(fiber optic gyroscope)signal,it is proposed in this paper to use DAVAR(dynamic Allan variance)to analyze the non-stationary characteristics of FOG, and a two-dimensional Quantitative Description for the major noise figure is applied.To curb the power leaks using a single rectangular window, by theoretical analysis and experimental comparison, a random signal DAVAR analysis method based on optimal window is proposed for FOG.Analyzing the static data and dynamic data of FOG using the above method,the results show that the change process of the FOG major noise figures can be reflected accurately and the recognition accuracy of the FOG noise figures is improved.The method proposed can be used as an effective tool and a theoretical and evaluation reference for FOG signal stability analysis.
出处 《军械工程学院学报》 2015年第2期59-64,共6页 Journal of Ordnance Engineering College
关键词 光纤陀螺 随机信号处理 噪声分析 DAVAR 最优窗 FOG random signal processing noise analysis DAVAR optimal window
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参考文献11

  • 1SAMUEL R S.The Allan variance-challenges and opportunities [J]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control ,2010,57(3) :540-547.
  • 2GALLEANI L,TAVELLA P.Tracking nonstationarities in clock noises using the dynamic Allan varianeeEC// Proceedings of Frequency Control Symposium and Exposition of the 2005 IEEE International.Vancouver,B. C. : IEEE, 2005 : 392-396.
  • 3GALLEANI L, TAVELLA P. The dynamic Allan variance [J]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2009,56(3) : 540-547.
  • 4GALLEANI L, TAVELLA P. Fast computation of the dynamic Allan variance ECl//Proceedings of the 22na European Frequency and Time Forum. Besancon: IEEE, 2009:685-687.
  • 5GALLEANI L. The dynamic Allan variance 1I . a fast computational algorithm [ J 1. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2009,57(1) :182-188.
  • 6GALLEANI L. The dynamic Allan variance III." confidence and detection surfaces [ J 1. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2011,58 (8) . 1550-1558.
  • 7魏国,龙兴武.基于动态Allan方差的机抖激光陀螺随机误差研究[J].中国激光,2010,37(12):2975-2979. 被引量:16
  • 8李颖,陈兴林,宋申民.光纤陀螺漂移误差动态Allan方差分析[J].光电子.激光,2008,19(2):183-186. 被引量:11
  • 9李绪友,张娜.基于动态Allan方差的光纤陀螺动态特性分析[J].哈尔滨工程大学学报,2011,32(2):183-187. 被引量:14
  • 10张娜,李绪友.动态Allan方差的理论改进及其应用研究[J].光学学报,2011,31(11):70-75. 被引量:15

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