小波分析在光纤陀螺寻北中的应用

摘要

FOG measurement data from experiments were analyzed in this paper. To reduce the impact of noises on the FOG north-seeking and improve the precision of north seeking. Filter was carried on using three smoothness every five points,digital filter and the wavelet analysis method to the FOG static output, through contrasting around the FOG output curve, the standard deviation as well as spectrum graph, it can be concluded that wavelet threshold filter compensates effectively the FOG random error. The trend of low frequency signal in FOG can be shown by the wavelet analysis. Using de-noised data, two-position north seeking was computed. The results of experiments show that wavelet analysis can increase the precision hv ？.9 8%对某型光纤陀螺仪的实测信号进行了分析。为了降低噪声对光纤陀螺寻北的影响，提高寻北精度，利用五点三次平滑、数字滤波、小波变换分析法对光纤陀螺静态输出数据进行了滤波处理，通过对比滤波前后陀螺的输出曲线、标准差以及频谱图，可以发现：小波阈值滤波能够有效的补偿光纤陀螺的随机误差。通过小波分析可以显示出陀螺低频信号的发展趋势。利用去噪后的数据进行二位置寻北计算，结果表明：小波分析可以使精度提高29．8％。