Filter and Modeling of Gyro Drift Data Based on Wavelet Analysis
Sun Chun-xiang · Cehui dili xinxi · 2011
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.