摘要
为了减小动态环境下光纤陀螺信号的随机误差,采取振动试验对光纤陀螺的动态误差进行激发,通过对试验数据的Allan方差分析,得到了振动过程中光纤陀螺信号随机误差的变化特性。采用基于AR(2)模型的Kalman滤波方法和小波滤波方法对光纤陀螺信号进行消噪处理,分析结果显示上述两种方法都能够有效地消除振动基座下FOG信号的随机误差,并且小波滤波方法要优于Kalman滤波方法。
In order to reduce the random error of FOG signal in dynamic environment,a vibration test was done to arouse the dynamic error of FOG. The change characteristics of random error of FOG signal in vibration process was got by means of the Allan variance analysis of the test data. Kalman filtering method based on the AR（2） model and wavelet filtering method were used to execute the de-noising of the FOG signal. The analysis results show that both of the methods can eliminate the ran-dom error of the FOG signal under the condition of vibrating base effectively and the wavelet filtering method is better than Kal-man filtering method.
出处
《现代电子技术》
2014年第4期156-158,162,共4页
Modern Electronics Technique
