一种基于DAVAR的FOG随机信号处理新方法  

New random signal processing method for FOG based on DAVAR

作　　者：高伟伟[1] 王广龙[1] 高凤岐[1] 高爽[2] 贾波 

机构地区：[1]军械工程学院纳米技术与微系统实验室,河北石家庄050003 [2]北京航空航天大学仪器科学与光电工程学院,北京100191 [3]陕西省西安市803厂军代室,陕西西安710043

出　　处：《解放军理工大学学报（自然科学版）》2014年第4期330-334,共5页Journal of PLA University of Science and Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(50875015)

摘　　要：为定量描述光纤陀螺(FOG)测试信号中各误差分量的动态变化过程,分析了多个随机信号处理方法的优缺点,指出了常用Allan方差分析不能辨识FOG信号非平稳性因素的不足,提出采用动态Allan方差(DAVAR)对FOG信号动态特性进行分析,采用二维表示法定量描述FOG各主要噪声项变化过程。实验结果表明,DAVAR能够反映FOG数据的非平稳特性;利用二维表示的方法,可准确地反映动态误差中各噪声项的变化特征。新的方法可作为FOG信号非平稳性分析的一种定量评价工具,为研究各干扰因素对FOG组成系统精度的影响提供理论参考和评价依据。To quantitatively describe the dynamic process of each error component in fiber optical gyro （ FOG） sig-nal, some random signal processing methods were studied. Deficiency was pointed out that non-stationary factors can not be recognized for FOG data in Allan variance method. A method as dynamic Allan variance （ DAVAR） was proposed for the analyais of the dynamic characteristics of FOG data, and a two-dimensional method for the quanti-tative description of the main noise change. The experimental results show that DAVAR can recognize the non-sta-tionary characteristics of FOG data, and the two-dimensional representation method can accurately reflect the change characteristics of the noise term. The new method can be seen as a quantitative evaluation tool for the non-stationary analysis of FOG data. It can provide theoretical reference and evaluation basis for study on the accuracy of the system in various interference factor conditions.

关 键 词：光纤陀螺 随机信号处理 ALLAN方差 动态Allan方差 

分 类 号：TP212.14[自动化与计算机技术—检测技术与自动化装置]