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Nazari, Arash, Moghtasad-Azar, khosro. (1400). Feasibility study of GPS time series analysis with time-dependent periodic coefficients model (TDPC). , 5(1), 28-35. doi: 10.22059/eoge.2021.325586.1097
Arash Nazari; khosro Moghtasad-Azar. "Feasibility study of GPS time series analysis with time-dependent periodic coefficients model (TDPC)". , 5, 1, 1400, 28-35. doi: 10.22059/eoge.2021.325586.1097
Nazari, Arash, Moghtasad-Azar, khosro. (1400). 'Feasibility study of GPS time series analysis with time-dependent periodic coefficients model (TDPC)', , 5(1), pp. 28-35. doi: 10.22059/eoge.2021.325586.1097
Nazari, Arash, Moghtasad-Azar, khosro. Feasibility study of GPS time series analysis with time-dependent periodic coefficients model (TDPC). , 1400; 5(1): 28-35. doi: 10.22059/eoge.2021.325586.1097

Feasibility study of GPS time series analysis with time-dependent periodic coefficients model (TDPC)

Earth Observation and Geomatics Engineering
مقاله 4، دوره 5، شماره 1، شهریور 2021، صفحه 28-35    اصل مقاله (944.2 K)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22059/eoge.2021.325586.1097
نویسندگان
Arash Nazari1؛ khosro Moghtasad-Azar* 2
1Geodesy Department, Faculty of Civil Engineering, Tabriz University ,Tabriz ,Iran
2Assistant Professor at Department of Geomatics Engineering, Faculty of Civil Engineering,Tabriz University, 29 Bahman Boulevard, Tabriz,Iran
چکیده
A time-dependent periodic coefficients (TDPC) model was proposed to analyze the Global Positioning System (GPS) time series. Due to the variations of the amplitude and phase-lag of the GPS signals over time, we propose a TDPC to analyze the daily time series. A new solution approach, where the serial correlations of the disturbances are eliminated by sequentially differencing the measurements, was used to estimate the model parameters using weighted least squares. As a numerical performance of the proposed method, the time series of 19 permanent stations in the United States via the Website of Scripps Orbit and Permanent Array Center (SOPAC) between the 2000 and 2010 year was selected. The results show a decrease in the RMS values of the residuals, especially for the height components. Moreover, using the 90 simulated GPS data analysis, in which their noises were different combinations of white noise and flicker noise, we demonstrate that the proposed model can extract amplitude varying periodic variabilities from GPS coordinate time series. 
کلیدواژه‌ها
GPS time series analysis؛ Variable amplitude model؛ Observation differencing؛ Seasonal signals
آمار
تعداد مشاهده مقاله: 437
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