基于前向线性预测的光纤陀螺信号小波分析方法  

Wavelet Analysis in Signal Processing of the Fiber Optic Gyro Based on Forward Linear Prediction

作　　者：石国祥[1] 陈坚[1] 叶军[1] 王林 吕永佳[1] 

机构地区：[1]第二炮兵工程学院,西安710025 [2]第二炮兵驻孝感地区军事代表室,孝感432100

出　　处：《导弹与航天运载技术》2011年第6期48-52,共5页Missiles and Space Vehicles

摘　　要：根据光纤陀螺输出信号中存在漂移误差和噪声的特点,在采用小波降噪的基础上,提出将自适应前向线性滤波技术用于小波系数处理,能够更加有效地抑制陀螺漂移噪声。实际测量数据处理结果表明,这种综合的小波滤波方法在不增大小波分解尺度的情况下可以进一步改善滤波效果,并且计算量没有明显增加。滤波后既能获得平滑信号,也真实反映了信号的边界和趋势。According to the characteristics of the Fiber Optic Gyro signal that contains random drift and noise error, based on de-noise method of wavelet filtering, the author proposes to apply the adaptive forward linear wavelet filtering technology to the processing of wavelet coefficient. This technology could effectively restrain the noise error and random drift. The result of testing and statistic analyzing show that the complex wavelet filter can improve the de-noise effect of the gyroscope drift, and the complexity and the real-time of the algorithm increase only a little. After filtering, the signal became smooth, moreover, its boundary and tendency were reflected.

关 键 词：小波分析 光纤陀螺 前向线性预测滤波 

分 类 号：TP27[自动化与计算机技术—检测技术与自动化装置]