小波理论在光纤陀螺中的运用

摘要

As a rotational sensor ,Fiber Optical Gyroscope（FOG） should have higher accuracy However ,only enchancing its performance in hardware will increase the cost and is not economic in enginnering application .it is significant to improve the performance of FOG by processing the signal of FOG in software design.this paper specifically present the fast wavelet algorithm,and the selection of different thresholds of wavelet.and present a new approach due to its defects.the new approach is the combination of soft and hard threshold .By comparison this method can effectively eliminate the noise%光纤陀螺除了具有无运动部件，无加速度引起的误差等优点外，其与传统机电陀螺的一个重要区别是存在较大的白噪声，这是光纤陀螺的特性所决定的。随机漂移是光纤陀螺的一个重要的指标，微小的漂移经过积分都将产生不可容忍的误差，因此对漂移的消噪具有重要的意义。光纤陀螺作为敏感角度信息的元件对其精度要求高，仅在硬件方面提高它的精度增大成本，而从软件提高精度显得尤为重要。本文用小波消噪的方法来提高光纤陀螺精度，具体介绍了快速小波算法和对小波不同阈值的选取，并且针对软、硬阈值的不足介绍一种新的滤波方法，软、硬阈值相结合的消噪方法。通过实验比较证明这种方法能更好地进行消噪。