Noise Processing of MEMS Gyro Based on Improved Wavelet Threshold Method
Huawei Liu · Electronics Optics & Control · 2009
The wavelet has the multi-resolution analysis characteristics,and the wavelet threshold de-noising method can be applied to process the noise of MEMS gyro signal.Based on the analysis to the existing threshold wavelet de-noising methods,an improved wavelet threshold de-noising method is presented.The principle and implementation of this method are presented in detail.The method was used to process the MEMS gyro's signal.By using db4,different threshold functions were adopted for signal decomposition of the gyro.Experiment analysis and comparison indicated that the proposed method can effectively eliminate the noise,and restrain the random drift of MEMS gyro.Compared with traditional threshold method,the SNR is increased by 18.3%.