Noise analysis in California and Southern Nevada
speaker ： Li-Fen Kuo
Abstract
Most researches using geodetic measurements consider only the white noises, while color noises are also important factors. To understand the effects of color noises, Langbein et al. [1997] conducted a research about the noise in two-color EDM, using power spectrum density analysis and maximum likelihood estimates, fo und that flicker noise is considered as the most significant time-dependent noise component in two-color EDM data .
In an attempt to understand the time-dependent noise components in geodetic measurements , Langbein [2008] estimate the noise in GPS time series, using more models that didn't consider by similar researches (e.g. Mao et all [1999]) . Found that only a low percentage of sits required those models, and random-walk noise is considered as the most significant time-dependent noise component in GPS data .
References
Langbein, J., and H. Johnson (1997), Correlated errors in geodetic time series: Implications for time-dependent deformation, J. Geophys. Res., 102(B1), 591-604
Langbein, J.(2008), Noise in GPS displacement measurements from Southern California and Southern Nevada, J. Geophys. Res., 113, B05405, doi:10.1029/2007JB005247