LMS自适应滤波算法在FOG数据处理中的应用

Application of LMS adaptive filtering algorithm in FOG data processing

针对光纤陀螺(fiber optic gyroscope,FOG)输出数据的随机噪声问题,提出将变步长最小均方(leastmean square,LMS)自适应滤波算法应用于FOG数据处理中。根据FOG数据特点,构造变步长LMS自适应滤波器,对FOG输出数据进行实时预处理,自动地调节参数,达到降低FOG随机漂移及角度随机游走的目的。采用Allan方差对滤波前后的FOG数据进行分析,结果表明所提出的算法在FOG数据处理中效果明显,可以优化FOG的零偏稳定性0.019(°)/h及角度随机游走0.001 5(°)/h1/2。

Aimed at the problem of random noises in the output of data of fiber optic gyroscope（FOG）,the variable step size LMS（VLMS） adaptive filtering algorithm is applied to FOG data processing.A VLMS filter is constructed on the basis of the characteristics of FOG data,which can pretreat the FOG data in real time and adjust its parameters automatically.The FOG＇s performance of bias stability（BS） and angle random walk（ARW） is enhanced by using the VLMS filter.The allan variance analysis of the pre-and post-filtered FOG data shows that the VLMS algorithm is effective in disposing FOG output data,it can be used in optimizing the characteristic indexes of FOG BS by 0.019°/h and ARW by 0.001 5°/h1/2.