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

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.