小波分析在微机械陀螺随机漂移建模中的应用  

Application of Wavelet Analysis to the Modelling of Micro-mechanical Gyro Random Drift

作　　者：张小娜[1] 马伯渊[1] 田华[1] 

机构地区：[1]西安电子科技大学,西安710071

出　　处：《弹箭与制导学报》2008年第3期59-60,64,共3页Journal of Projectiles,Rockets,Missiles and Guidance

基　　金：陕西省科学技术研究发展计划项目(2006K05-G13)资助

摘　　要：对陀螺随机漂移建模之前需要先对信号进行预处理。传统的预处理方法是逐步回归法,其对陀螺漂移趋势项的提取相当烦琐,且往往会产生模型误差。基于此种情况,研究了基于小波分析的信号趋势项提取方法,实现对微机械陀螺漂移趋势项以小波系形式加以提取。最后对预处理后的数据用时间序列分析法建模。试验结果表明,此方法简单易行且建模精度明显优于传统方法。The signal of gyro random drift needs preconditioning before modeling. The traditional pre-processing method is stepwise regression, which is quite tedious in the trend extraction of gyro＇s drift and often brings model error. Focused on this, an algorithm of signal trend extraction was presented based on wavelet analysis in this paper, the trend extraction of micro-mechanical gyro＇s drift in the form of wavelet coefficient was conducted. At last, a model was established to the pre-processed data in time series method. The experiment result shows that this approach is simple and the modelling precision is much better than that of traditional method.

关 键 词：陀螺漂移 小波分析 时间序列 建模 

分 类 号：V241.5[航空宇航科学与技术—飞行器设计]