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

摘要：

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 gyros 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.

关键词： Wavelet packet Gyro De-noising Frequency Band Analysis Method Threshold function.

作者: LIN Xue-Yuan XU Zhi-Bin LIANG Fa-Mail

作者单位: Department of Electronic Information Engineering Naval Aeronautical and Astronautical University Yantai City, China

会议类型: 国际会议

会议名称: Third International Conference on Information and Computing(第三届信息与计算科学国际会议 ICIC 2010)

会议地点: 无锡

会议语种:英文

页码: 342-345

在线出版日期: 2010-06-04（万方平台首次上网日期，不代表论文的发表时间）