Noise-Dependent Adaption of the Wiener Filter for the GPS Position Time Series

• DOI: 10.1007/s11004-018-9760-z
• Publication Date: 2018-07-25T03:28:13Z
• Authors: Anna Klos; Machiel S. Bos; Rui M. S. Fernandes; Janusz Bogusz
• Keywords: Wiener filter; Position (finance); GPS/INS

Various methods have been used to model the time-varying curves within global positioning system (GPS) position time series. However, very few consider level of noise a priori before seasonal are estimated. This study is first Wiener filter (WF), already in geodesy denoise gravity records, signals GPS To part signal, first-order autoregressive process employed. The WF then adapted data only those variabilities which significant. Synthetic and real demonstrate that this variation leaves underlying properties intact provides optimal modeling signals. methodology referred as adaptive (AWF) both easy implement fast, due use fast Fourier transform method.