受外界随机干扰影响的光纤陀螺信号分析与处理

Analysis and Process of Gyroscope Signal Influenced by Outside Random Disturbance

针对受外界随机干扰影响的光纤陀螺信号进行分析并作了相应处理。分别比较了小波变换和建立在AR模型基础上的Kalman滤波两种滤波方法,并用实测数据进行验证。结果表明,相对于小波变换,建立在AR模型基础上的Kalman滤波不仅能够削弱有色噪声的影响,还能够部分削弱高频噪声的影响,滤波效果较好;将小波变换和Kalman滤波两种方法的优点结合起来,可以获得更好的滤波效果,有效地削弱了信号中各种干扰噪声的影响。

Gyroscope signal influenced by the outdoor random disturbance was analyzied and processed. Two methods of wavelet transform and Kalman filtering based on AR model were compared and applied in actual cases. The results showed that Kalman filtering based on AR model could not only degrade the influence of part of the high frequenct noise but also the coloured noise compared with wavelet transform; the combination of the two methods got more precise results.