Application of Wavelet Function for GNSS-Based Noise Monitoring Data

This article reduces the noise of GNSS monitoring datas by using global threshold and layered threshold,which is based on wavelet function.The article calculates the correlation coefficient and smoothness after denoising.By comparing with them,it conclude that the wavelet function has a great advantage for data denoising,and stratification threshold has a better effect on denoising.The result provides a good reference value for subsequent processing GNSS.