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基于小波分析的陀螺随机漂移建模与滤波
引用本文:李璐,孙纯祥.基于小波分析的陀螺随机漂移建模与滤波[J].测绘信息与工程,2011(5):26-28.
作者姓名:李璐  孙纯祥
作者单位:中国航天科技集团第十六研究所,西安市航天西路108号710100
摘    要:采用基于小波分析提取信号趋势项的方法,对实测三浮陀螺漂移数据的趋势项加以提取,并对其残差进行建模。在建立了时序模型的基础上进行卡尔曼滤波器设计,对三浮陀螺的随机漂移数据进行卡尔曼滤波,结果表明,滤波方法有效地抑制了陀螺的随机误差。

关 键 词:小波分析  陀螺漂移  卡尔曼滤波

Filter and Modeling of Gyro Drift Data Based on Wavelet Analysis
LI Lu,SUN Chunxiang.Filter and Modeling of Gyro Drift Data Based on Wavelet Analysis[J].Journal of Geomatics,2011(5):26-28.
Authors:LI Lu  SUN Chunxiang
Institution:16th Research Institute,China Aerospace Science and Technology Group,108 West Hangtian Road,Xi'an 710100,China)
Abstract:Based on wavelet analysis of signal trend extracting method,the trend extraction of the measured gyro drift data was conducted.A model was established to the residual data.The results demonstrate that its precision is much better than that of traditional methods.We set up a time sequence model of three-floated gyro random error and process the drift data by Kalman filter based on the model.The results show that this method can effectively decrease the random error of gyro.
Keywords:wavelet analysis  gyroscope drift  Kalman filter
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