Type | Accuracy | Latency | Updates | Sample interval | |
---|---|---|---|---|---|
|
|||||
Broadcast | Orbits | ~100 cm | Real time | -- | Daily |
Sat. clocks |
~5 ns RMS ~2.5 ns SD |
||||
Ultra-rapid (predicted half) | Orbits | ~5 cm | Real time | Four times/day | 15 min |
Sat. clocks |
~3 ns RMS ~1.5 ns SD |
||||
Ultra-rapid (observed half) | Orbits | ~3 cm | 3–9 h | Four times/day | 15 min |
Sat. clocks |
~150 ps RMS ~50 ps SD |
||||
Rapid | Orbits | ~2.5 cm | 17–41 h | One time/day | 15 min |
Sat. and stn clocks |
~75 ps RMS ~25 ps SD |
5 min | |||
Final | Orbits | ~2.5 cm | 12–18 days | One time/week | 15 min |
Sat. and stn clocks |
~75 ps RMS ~20 ps SD |
Sat.: 30 s Stn.: 5 min |
|||
|
|||||
Final | Orbits | ~3 cm | 12–18 days | Every Thursday | 15 min |
where: ns = nanosecond, ps = picosecond, UTC =Universal Coordinated Time, RMS = Root Mean Square errors, SD = standard deviation |
Transfer functions (hidden–output) layer | Binary numbers | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
X | Y | Z | ||||||||
σx (m) | MSE (m) | NOF | σY (m) | MSE (m) | NOF | σZ(m) | MSE (m) | NOF | ||
a) Baltim station | Tansig–Purelin | 0.112 | 0.008 | 1 | 0.404 | 0.020 | 6 | 0.254 | 0.025 | 4 |
Tansig–Logsig | NaN | NaN | 100 | NaN | NaN | 100 | NaN | NaN | 100 | |
Tansig–Tansig | 0.103 | 0.005 | 2 | 0.319 | 0.007 | 7 |
|
0.003 | 5 | |
Logsig–Purelin |
|
|
|
|
|
|
0.057 |
|
|
|
Logsig–Logsig | NaN | NaN | 100 | NaN | NaN | 100 | NaN | NaN | 100 | |
Logsig–Tansig | 0.171 | 0.038 | 3 | 0.495 | 0.085 | 13 | 0.282 | 0.040 | 19 | |
Purelin–Purelin | 1.048 | 0.094 | 7 | 0.955 | 0.087 | 2 | 0.489 | 0.054 | 6 | |
Purelin–Logsig | NaN | NaN | 100 | NaN | NaN | 100 | NaN | NaN | 100 | |
Purelin–Tansig | 0.537 | 0.041 | 7 | 0.805 | 0.049 | 6 | 0.669 | 0.085 | 7 | |
Purelin–Purelin | 0.113 | 0.274 | 0.158 | 2 × 10-6 | 0 | |||||
The other constellations of transfer functions | NaN | NaN | NaN | NaN | 100 | |||||
b) Suez station | ||||||||||
Tansig–Purelin | 0.165 | 0.004 | 3 | 0.227 | 0.013 | 3 | 0.186 | 0.007 | 2 | |
Tansig–Logsig | NaN | NaN | 100 | NaN | NaN | 100 | NaN | NaN | 100 | |
Tansig–Tansig | 0.183 | 0.005 | 3 | 0.185 | 0.009 | 5 | 0.196 | 0.017 | 7 | |
Logsig–Purelin | ||||||||||
Logsig–Logsig | NaN | NaN | 100 | NaN | NaN | 100 | NaN | NaN | 100 | |
Logsig–Tansig | 0.245 | 0.021 | 7 | 0.401 | 0.005 | 6 | 0.293 | 0.004 | 6 | |
Purelin–Purelin | 0.498 | 0.081 | 6 | 0.554 | 0.071 | 3 | 0.617 | 0.032 | 3 | |
Purelin–Logsig | NaN | NaN | 100 | NaN | NaN | 100 | NaN | NaN | 100 | |
Purelin–Tansig | 0.632 | 0.035 | 6 | 0.488 | 0.045 | 4 | 0.650 | 0.035 | 10 | |
Purelin–Purelin | 0.171 | 0.206 | 0.256 | 3 × 10-8 | 1 | |||||
The other constellations of transfer functions | NaN | NaN | NaN | NaN | 100 |
Transfer functions (hidden–output) layer | Binary numbers | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
X | Y | Z | ||||||||
σx (m) | MSE (m) | NOF | σY (m) | MSE (m) | NOF | σZ (m) | MSE (m) | NOF | ||
c) Helwan station | Tansig–Purelin | 0.007 | 3 | 0.156 | 0.008 | 3 | 0.123 | 0.009 | 3 | |
Tansig–Logsig | NaN | NaN | 100 | NaN | NaN | 100 | NaN | NaN | 100 | |
Tansig–Tansig | 0.065 | 0.005 | 5 | 0.192 | 0.012 | 5 | 0.099 | 5 | ||
Logsig–Purelin | 0.048 | 0.010 | ||||||||
Logsig–Logsig | NaN | NaN | 100 | NaN | NaN | 100 | NaN | NaN | 100 | |
Logsig–Tansig | 0.275 | 0.013 | 2 | 0.352 | 0.007 | 6 | 0.356 | 0.032 | 6 | |
Purelin–Purelin | 0.520 | 0.027 | 4 | 0.581 | 0.035 | 4 | 0.492 | 0.009 | 7 | |
Purelin–Logsig | NaN | NaN | 100 | NaN | NaN | 100 | NaN | NaN | 100 | |
Purelin–Tansig | 0.452 | 0.008 | 5 | 0.611 | 0.041 | 5 | 0.470 | 0.036 | 5 | |
Purelin–Purelin | 0.157 | 0.305 | 0.276 | 5 × 10-7 | 2 | |||||
The other constellations of transfer functions | NaN | NaN | NaN | NaN | 100 | |||||
d) Cairo station | ||||||||||
X | Y | Z | ||||||||
σx (m) | MSE (m) | NOF | σY (m) | MSE (m) | NOF | σZ (m) | MSE (m) | NOF | ||
Tansig–Purelin | 0.143 | 0.007 | 4 | 0.031 | 0.010 | 3 | 0.133 | 0.008 | 2 | |
Tansig–Logsig | NaN | NaN | 100 | NaN | NaN | 100 | NaN | NaN | 100 | |
Tansig–Tansig | 0.127 | 3 | 0.108 | 0.008 | 4 | 0.186 | 0.015 | 3 | ||
Logsig–Purelin | 0.004 | |||||||||
Logsig–Logsig | NaN | NaN | 100 | NaN | NaN | 100 | NaN | NaN | 100 | |
Logsig–Tansig | 0.272 | 0.009 | 5 | 0.358 | 0.031 | 5 | 0.296 | 0.002 | 5 | |
Purelin–Purelin | 0.382 | 0.012 | 4 | 0.399 | 0.023 | 3 | 0.488 | 0.047 | 7 | |
Purelin–Logsig | NaN | NaN | 100 | NaN | NaN | 100 | NaN | NaN | 100 | |
Purelin–Tansig | 0.484 | 0.023 | 6 | 0.511 | 0.045 | 5 | 0.388 | 0.071 | 4 | |
Purelin–Purelin | 0.273 | 0.242 | 0.338 | 0.006 | 0 | |||||
The other constellations of transfer functions | NaN | NaN | NaN | NaN | 100 |
Test no. | Transfer function | ANN type | NHL | NON | NOI | |
---|---|---|---|---|---|---|
1 |
|
X | Fit net | 1 | 10 | 100 |
2 |
|
The optimal at test 1 | X | 1 | 10 | 100 |
3 |
|
The optimal at test 1 | The optimal at test 2 | X | 10 | 100 |
4 |
|
The optimal at test 1 | The optimal at test 2 | The optimal at test 3 | X | 100 |
5 |
|
The optimal at test 1 | The optimal at test 2 | The optimal at test 3 | The optimal at test 4 | X |
Station | Pattern net | Fit net | Cascade forward net | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
σx |
σY |
σZ |
σP |
Elapsed time (s) | σx |
σY |
σZ |
σP |
Elapsed time |
σx |
σY |
σZ |
σP |
Elapsed time |
|
|
0.090 | 0.263 | 0.071 | 0.287 | 44.4 | 0.056 | 0.219 | 0.030 | 0.228 | 38.8 | 0.043 | 0.188 | 0.021 | 0.194 | 27.9 |
|
0.078 | 0.118 | 0.157 | 0.211 | 47.3 | 0.072 | 0.101 | 0.106 | 0.163 | 36.2 | 0.077 | 0.099 | 0.103 | 0.162 | 24.4 |
|
0.127 | 0.193 | 0.089 | 0.248 | 45.8 | 0.089 | 0.152 | 0.076 | 0.192 | 37.4 | 0.084 | 0.146 | 0.079 | 0.186 | 27.2 |
|
0.161 | 0.068 | 0.118 | 0.211 | 46.9 | 0.115 | 0.044 | 0.066 | 0.140 | 35.1 | 0.084 | 0.029 | 0.048 | 0.101 | 28.9 |
|
0.227 | 0.224 | 0.448 | 0.550 | 49.7 | 0.179 | 0.198 | 0.431 | 0.507 | 39.5 | 0.147 | 0.179 | 0.425 | 0.484 | 26.8 |
Station | Group 1 | Group 2 | Group 3 | Group 4 | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Nt values | Elapsed time (h) | Nt values | Elapsed time (h) | Nt values | Elapsed time (h) | Nt values | Elapsed time (h) | |||||||||
1–10 | 0.02 | 10–100 | 0.15 | 100–1000 | 1.5 | 1000–10,000 | 15.5 | |||||||||
σm(X) |
σm(Y) |
σm(Z) |
σm(P) |
σm(X) |
σm(Y) |
σm(Z) |
σm(P) |
σm(X) |
σm(Y) |
σm(Z) |
σm(P) |
σm(X) |
σm(Y) |
σm(Z) |
σm(P) |
|
|
0.080 | 0.195 | 0.040 | 0.215 | 0.068 | 0.174 | 0.036 | 0.191 | 0.042 | 0.137 | 0.019 | 0.145 | 0.017 | 0.080 | 0.009 | 0.083 |
|
0.094 | 0.128 | 0.105 | 0.190 | 0.087 | 0.119 | 0.101 | 0.179 | 0.068 | 0.085 | 0.082 | 0.137 | 0.045 | 0.035 | 0.044 | 0.074 |
|
0.067 | 0.177 | 0.086 | 0.208 | 0.058 | 0.142 | 0.067 | 0.168 | 0.052 | 0.107 | 0.049 | 0.129 | 0.034 | 0.065 | 0.030 | 0.080 |
|
0.083 | 0.044 | 0.035 | 0.100 | 0.066 | 0.036 | 0.036 | 0.084 | 0.047 | 0.030 | 0.036 | 0.066 | 0.026 | 0.023 | 0.024 | 0.043 |
|
0.184 | 0.216 | 0.572 | 0.639 | 0.164 | 0.196 | 0.453 | 0.520 | 0.134 | 0.172 | 0.350 | 0.413 | 0.103 | 0.125 | 0.249 | 0.297 |
Station | Post-processing (broadcast ephemerides) | Post-processing (final orbits) | Classification algorithm | ANN algorithm | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
dX |
dY |
dZ |
Position error |
dX |
dY |
dZ |
Position error |
dX |
dY |
dZ |
Position error |
dX |
dY |
dZ |
Position error |
|
|
0.050 | 0.020 | 0.003 | 0.054 | 0.001 | 0.002 | 0.004 | 0.005 | 0.034 | 0.011 | 0.009 | 0.037 | 0.011 | 0.007 | 0.008 | 0.015 |
|
0.006 | 0.003 | 0.006 | 0.009 | 0.003 | 0.007 | 0.003 | 0.008 | 0.003 | 0.002 | 0.004 | 0.005 | 0.002 | 0.003 | 0.004 | 0.005 |
|
0.047 | 0.040 | 0.019 | 0.065 | 0.015 | 0.015 | 0.011 | 0.024 | 0.024 | 0.021 | 0.024 | 0.040 | 0.017 | 0.016 | 0.021 | 0.031 |
|
0.022 | 0.014 | 0.013 | 0.029 | 0.015 | 0.010 | 0.019 | 0.026 | 0.017 | 0.012 | 0.015 | 0.026 | 0.011 | 0.007 | 0.012 | 0.018 |
|
0.157 | 0.051 | 0.322 | 0.362 | 0.044 | 0.083 | 0.110 | 0.145 | 0.103 | 0.062 | 0.220 | 0.251 | 0.051 | 0.021 | 0.153 | 0.163 |
Percentage of improvement (%) | ||||||
---|---|---|---|---|---|---|
Station | Single-frequency observations | Dual-frequency observations | ||||
Classification algorithm | ANN algorithm | Classification algorithm | ANN algorithm | IGS final orbits | ||
|
28 | 79 | 31 | 72 | 91 | |
|
37 | 70 | 44 |
|
11 | |
|
39 | 66 | 38 | 52 | 63 | |
|
16 | 50 | 10 |
|
10 | |
|
32 | 62 | 31 | 55 | 60 |
Station | Post-processing (broadcast ephemerides) | Classification algorithm | ANN algorithm | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
dX |
dY |
dZ |
Position error |
dX |
dY |
dZ |
Position error |
dX |
dY |
dZ |
Position error |
|
|
0.118 | 0.309 | 0.046 | 0.334 | 0.090 | 0.220 | 0.047 | 0.242 | 0.031 | 0.06 | 0.021 | 0.071 |
|
0.145 | 0.262 | 0.134 | 0.328 | 0.104 | 0.141 | 0.112 | 0.208 | 0.052 | 0.054 | 0.063 | 0.098 |
|
0.123 | 0.277 | 0.204 | 0.365 | 0.075 | 0.190 | 0.092 | 0.224 | 0.078 | 0.081 | 0.051 | 0.123 |
|
0.093 | 0.045 | 0.054 | 0.117 | 0.081 | 0.046 | 0.031 | 0.098 | 0.042 | 0.027 | 0.030 | 0.058 |
|
0.286 | 0.330 | 0.992 | 1.084 | 0.190 | 0.241 | 0.675 | 0.741 | 0.101 | 0.132 | 0.381 | 0.416 |
Station | Station type | GNSS instrument | Reference coordinates | |||||||
---|---|---|---|---|---|---|---|---|---|---|
Longitude | Latitude | Ellipsoidal height, m | Source | |||||||
° | ′ | ″ | ° | ′ | ″ | |||||
|
IGS | Leica GRX1200 | 35 | 23 | 31.46180 | 31 | 35 | 35.5288 | 31.834 | SOPAC |
|
IGS | Leica RS500 | 34 | 45 | 47.31050 | 30 | 35 | 51.38602 | 886.829 | SOPAC |
|
Test | Trimble R8 | 31 | 04 | 49.15000 | 31 | 35 | 45.42070 | 31.163 | CSRS |
|
Test | Trimble R8 | 32 | 36 | 22.45620 | 30 | 07 | 09.53080 | 53.827 | CSRS |
|
Test | Trimble R8 | 31 | 20 | 37.30370 | 29 | 51 | 33.72150 | 135.055 | CSRS |
|
Test | Leica GR10 | 31 | 14 | 16.45330 | 30 | 02 | 43.33490 | 68.268 | CSRS |
|
Test | Ashtech Z-Xtreme | 31 | 10 | 19.90010 | 27 | 11 | 12.12040 | 91.420 | CSRS |
Epoch | Goal | Max_fail | Min_fail | Mu | Learning rate |
---|---|---|---|---|---|
1000 | 0 | 6 | 1e-7 | 0.001 | 0.01 |
Transfer functions (hidden–output) layer | Binary numbers | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
X | Y | Z | ||||||||
σx (m) | MSE (m) | NOF | σY (m) | MSE (m) | NOF | σZ (m) | MSE (m) | NOF | ||
e) Assiut station | Tansig–Purelin | 0.219 | 0.008 | 3 | 0.327 | 0.010 | 1 | 0.530 | 0.016 | 6 |
Tansig–Logsig | NaN | NaN | 100 | NaN | NaN | 100 | NaN | NaN | 100 | |
Tansig–Tansig | 0.177 | 4 | 0.294 | 0.013 | 2 | 0.549 | 0.017 | 5 | ||
Logsig–Purelin | 0.006 | |||||||||
Logsig–Logsig | NaN | NaN | 100 | NaN | NaN | 100 | NaN | NaN | 100 | |
Logsig–Tansig | 0.314 | 0.009 | 5 | 0.470 | 0.023 | 4 | 0.640 | 0.022 | 7 | |
Purelin–Purelin | 0.433 | 0.014 | 4 | 0.402 | 0.036 | 2 | 0.691 | 0.035 | 14 | |
Purelin–Logsig | NaN | NaN | 100 | NaN | NaN | 100 | NaN | NaN | 100 | |
Purelin–Tansig | 0.503 | 0.071 | 4 | 0.630 | 0.610 | 0 | 0.747 | 0.051 | 15 | |
Purelin–Purelin | 0.259 | 0.301 | 0.606 | 0.003 | 7 | |||||
The other constellations of transfer functions | NaN | NaN | NaN | NaN | 100 |