Influence of Realistic Noise Analysis on Significance of Strain Matrix Parameters

In most applications of GPS time series, white noise is considered as a covariance matrix, while over 20 years of GPS time series, white noise is not enough for unwanted signals and on the other hand white noise is unavoidable part of realistic noise model. Selecting of a prepare noise model assure us to considering all unwanted signals which GPS have been involved during its time series. In order of comparison between two modes, white noise and realistic noise, we considered one of the most important of application of GPS time series. For this purpose, strain analysis was selected, but, in additional of considering noise model, for better comparison, we introduces Normalized Strains which could help us for the comparison in two different states, realistic noise and white noise. California Network with more than 10years continuous GPS data with proper density is appropriate criteria to assessment of efficacy of time series duration and No discontinuity GPS data on final results. Beside, Azerbaijan Network is one of the most regular and most dense of Iranian Networks which its obtained noise model can be considered as Iranian Geodynamic Network’s noise model. By comparing of these two networks results, there are some useful suggestions to improve the Iranian Geodynamic Network’s future outcomes.