Table 1 PPP processing strategy and models (Elmezayen and EI-Rabbany 2020)
From: A resilient adjustment method to weigh pseudorange observation in precise point positioning
Index | Items | Processing strategy |
|---|---|---|
1 | Navigation constellation | GPS only |
2 | Satellite orbit and clock | Multi-GNSS precise product ‘GBM’ from GeoForschungsZentrum (GFZ): precise satellite orbit (15 min) and clocks (30 s) |
3 | Elevation mask angle | 7.5° |
4 | Estimation method | Extend Kalman filtering (EKF) |
5 | Observation model | IF model |
6 | Processing mode | Kinematic without dynamics |
7 | Weighting schemes | Pseudorange: Scheme 1, Scheme 2 and Scheme 3 Carrier-phas using the general empirical model, the parameter is set to \(\sigma_{0} = 0.003{\text{m}}\). |
8 | Receiver clock offset | Estimated, modeled as white noise process with a spectral density 1 × 102 m2/s |
9 | Satellite and receiver antenna center offset | Corrected by igs14_2035.atx antenna file |
10 | Phase wind-up | Corrected by model (Pan, 2018) |
11 | Site displacements | Solid Earth tide, ocean tide, pole tide (Pan, 2018) |
12 | Tropospheric zenith delay | Hydrostatic delay: using Saastamoinen model and NMF mapping functions model Wet delay: modeled as a random walk process with a spectral density of 1 × 10–5 m2/s |
13 | Ambiguity parameter | Float solutions, modeled as constants |
14 | Relativity effect | Corrected by model (Pan, 2018) |