Study on De-noising of Gyro Signal Based on Wavelet Packet Threshold

Pre-processing of the gyro signal is an effective way to improve the accuracy of the gyro. In this paper, the frequency band analysis method based on wavelet packet is used to detect the useful signal from noise which was measured at different angular velocity inputs, thus the effective frequency ra...

Full description

Saved in:
Bibliographic Details
Published in2010 Third International Conference on Information and Computing Vol. 1; pp. 342 - 345
Main Authors Lin Xue-Yuan, Xu Zhi-Bin, Liang Fa-Mail
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2010
Subjects
Angular velocity
Frequency Band Analysis Method
Frequency measurement
Gyro De-noising
Noise measurement
Noise reduction
Signal analysis
Signal detection
Signal processing
Threshold function
Velocity measurement
Wavelet analysis
Wavelet packet
Wavelet packets
Online AccessGet full text
ISBN9781424470815
1424470811
ISSN2160-7443
DOI10.1109/ICIC.2010.93

Cover

More Information
Summary:Pre-processing of the gyro signal is an effective way to improve the accuracy of the gyro. In this paper, the frequency band analysis method based on wavelet packet is used to detect the useful signal from noise which was measured at different angular velocity inputs, thus the effective frequency range gyro signal is identified. Then the gyro's output is compensated for by wavelet packet dynamic threshold method at different sub-frequency range, thus the smooth motion characteristics of gyro could be improved, and the gyro has high precision in the overall measurement range. The results based on practical measured data show that this method can be applied in the scope of full-scale gyro error compensation, and can effectively improve the accuracy of the gyro output signal.
ISBN:9781424470815
1424470811
ISSN:2160-7443
DOI:10.1109/ICIC.2010.93