北京测绘2024，Vol.38Issue(5)：681-685,5.DOI:10.19580/j.cnki.1007-3000.2024.05.006
GNSS浮标高程坐标时间序列噪声特性分析
Analysis of noise characteristics of GNSS buoy elevation coordinate time series
摘要
Abstract
This paper analyzed sea level height observation data from four global navigation satellite system(GNSS)buoys with different sizes,namely Wave Knight buoy,5 m buoy,2 m buoy,and 1 m buoy,so as to elucidate the noise characteristics of GNSS coordinate time series in marine environments.Through data solution procedures,the uncertainty in observational accuracy for various types of buoys was determined.Standard deviation analysis revealed that the 5 m buoy exhibited the highest observational stability,whereas the Wave Knight buoy manifested the greatest uncertainty.Further noise model analysis indicated that the optimal noise models for the coordinate time series of 5 m,2 m,and 1m buoys were white noise(WN)+power law(PL)noise,while the optimal noise model for Wave Knight buoy was WN+flicker noise(FN).To improve data quality,a singular spectrum analysis(SSA)algorithm was employed for noise reduction in the coordinate time series.The results show that although the optimal noise models for each buoy remain unchanged after noise reduction,there is a significant reduction in noise magnitude.Specifically,the noise magnitudes for the 5 m buoy,Wave Knight buoy,2 m buoy,and 1 m buoy are reduced by 16.75%,39.2%,27.5%,and 33.35%,respectively.In summary,larger buoys offer more accurate sea level height observation data due to their higher stability.Additionally,noise reduction through SSA effectively reduces noise magnitudes,thereby enhancing the quality of observation data.The findings of this paper provide critical technical references for marine GNSS observations.关键词
噪声模型/奇异谱分析/降噪/全球卫星导航系统浮标Key words
noise model/singular spectrum analysis/noise reduction/global navigation satellite system(GNSS)buoy分类
天文与地球科学引用本文复制引用
高升,胡兆国,徐广东,姬晴川,杨超,杜利明..GNSS浮标高程坐标时间序列噪声特性分析[J].北京测绘,2024,38(5):681-685,5.基金项目
中国冶金地质总局山东局青年科技基金(SDYJ-QNKY202111) （SDYJ-QNKY202111）
