基于频带分析的陀螺信号小波包消噪研究

Wavelet Packet Denoising Research for Signal of the Gyro Based on Frequency-band Analysis

对陀螺信号预处理是提高陀螺信号精度的有效方式之一。文中针对陀螺在不同角速度输入下的测量信号．利用小波包频带分析方法识别出陀螺的有用信号和噪声，确定出陀螺信号的有效频带范围；采用小波包动态阈值法对分析后的陀螺原始输出数据分频段补偿误差，有效的改善了陀螺的平稳运动特性，使陀螺在整个量程范围内都具有较高的精度。实测数据处理结果表明该方法适用于全量程范围内的陀螺误差补偿，能有效提高陀螺信号的精度。

Pre-processing the signal of the gyro signal is an effective way to improve the accuracy of gyro signal. In this paper, frequency band approach of wavelet packet algorithm was used to detect the useful signal from noise which was measured at different angular velocity inputs, and identify the effective frequency range gyro signal. Then with wavelet packet dynamic threshold method, the smooth motion characteristics of gyro could be improved at sub-band gyro error compensation. All of the above, the gyro signal outputs will have high accuracy in the whole measurement range. The results show that this method can be applied in the scope of full-scale gyro error compensation to effectively improve the accuracy of the gyro output signal.