doi:10.16186/j.cnki.1673-9787.2020040015

Received:2020/04/02

Revised:2020/08/15

Published:2022/01/10

On the noise estimation method of GNSS station coordinate time series

YUAN Yafei1,2, ZHANG Yiwen2, KONG Qingzhu2, LI Pengpeng2, LI Zhiyuan2, ZHANG Yuyang2

1.School of Environment Science and Spatial Informatics ， China University of Mining and Technology， Xuzhou  221116， Jiangsu， China；2.ShuiFa Planning & Design Co. ， Ltd. ， Jinan  250100 ， Shandong， China

Abstract: To study the difference of GNSS station coordinate time series noise estimation methods，maximum likelihood estimation( MLE) ，and two variance component estimation methods( least square variance component estimation( LS-VCE) and minimum norm quadratic unbiased estimation of variance components( MINQUE) ) were firstly compared and analyzed for the estimation effect of GNSS station coordinate time series noise model with different time length.The suitable length of noise model estimation was determined to be 15 years，the best estimation method was variance component estimation，and the least square variance component estimation was selected for noise model estimation of time series.The noise model estimation results of 15 GNSS stations in China showed that flicker noise was the main noise of GNSS stations in China，and the vertical noise intensity was much higher than the horizontal noise intensity.On this basis，the linear regression method was used to analyze the correlation between the horizontal and vertical noise variances.The analysis showed that the horizontal noise could explain more than 32% of the vertical noise.

Key words:GNSS station coordinate time series;noise model;least-square variance component estimation;flicker noise;w-test

 GNSS站坐标时间序列噪声估计方法探讨_元亚菲.pdf