GNSS时间序列小波降噪模型分析研究

Analysis and Research on Wavelet Denoising Model of GNSS Time Series

全球导航卫星系统变形监测中的测量结果包含变形体受外界环境影响产生的变形信息、测量过程中受测量噪声影响产生的测量偏差。本文采用Wavelet算法构建降噪模型,研究不同降噪评价指标的数值表现。实验结果表明:阈值为3的小波降噪效果明显比阈值为5的小波降噪效果好,信噪比均优于阈值为5的小波;对于不同的小波基降噪模型中haar小波基降噪模型优于db5降噪模型;coif4小波基降噪模型降噪效果优于db5小波基降噪模型。

The results of deformation monitoring of global navigation satellite system include deformation information of deformation body affected by external environment and measurement deviation caused by measurement noise. It is proposed to use wavelet algorithm to build noise reduction model and study the numerical performance of different noise reduction evaluation indexes. The experimental results show that: the denoising time of wavelet with threshold 3 is better than that of wavelet with threshold 5, and the signal-to-noise ratio is better than that of wavelet with threshold 5;the noise reduction effect of Haar is better than that of db5;the noise reduction effect of coif4 is better than that of db5.