应用小波变换的光纤陀螺动态寻北

Fast Dynamic North-Seeking of FOG Based on Wavelets

针对中、低精度光纤陀螺寻北工程应用存在的速度慢、精度不高问题,提出了一种基于小波变换的快速动态寻北算法.该方法在水平条件下,通过引入低速连续转动,将静态测量问题转化为动态测量问题,并通过小波变换滤波处理,较好地抑制了光纤陀螺信号中的高频测量噪声,保留了陀螺输出信号中的有用信息,从而减少了光纤陀螺低频随机漂移误差的影响,最终能够快速、高精度地确定地理北向.实验结果表明,相同条件下该算法能有效缩短寻北时间,减少重复寻北误差,有效提高定向精度,具有较好的理论研究价值和工程实用前景.

Regarding applications of low-precision and medium-precision fiber-optic gyroscope （FOG） , we present a fast north-seeking algorithm based on wavelet transform. The proposed method imports continuous slow-speed rotation, changes static measurements into dynamic measurements under the leveling condition. Measurement noise is suppressed, and the useful information of FOG output is kept with wavelet transform filtering. Consequently the influence of FOG＇ s low-frequency random drifting is reduced. Thus the FOG can find the geographical north fast and accurately. Experimental results show that the method can effectively reduce the time needed to seek north and errors in repetitive north-seeking, and improve direction accuracy. The method is expected to have theoretical and practical values.