Article Figures & Data
Figures
- FIGURE 1
Outline of the functions that contribute to the computation of the path weight
- FIGURE 2
Overview of the developed OPE algorithm
- FIGURE 3
Illustration of the transition from the most likely positions,
, to the candidate positions, , and then to the next ; each oval represents one position. The circles inside the ovals represent the statuses of the satellites above the horizon at that position. - FIGURE 4
Illustration of the change in the mean, μτe, for the investigated scenario
- FIGURE 5
Illustration of the change in the standard deviation, στe, for the investigated scenario
- FIGURE 6
Illustration of the relationship between different time periods
- FIGURE 7
Outline of the SOM training process
- FIGURE 8
Outline of the proposed supervised SOM
- FIGURE 9
A view of the tested area from the UI of the Skydel simulator
- FIGURE 10
A view of the test area from Google Earth with superimposed 3D building models
- FIGURE 11
A reconstruction of the 3D building models
- FIGURE 12
A sky plot of the satellites above the horizon
- FIGURE 13
Illustration of the number of signals in each of the four statuses (L, M, N, and I) over the entire scenario
- FIGURE 14
Illustration of the changes in the signal statuses of PRNs 24 and 30 during the entire scenario
- FIGURE 15
The RMS of the ENU horizontal position error for a conventional approach and the estimated OPE-NAV and OPE-MM positions over the entire scenario
- FIGURE 16
The RMS error at each interval of the scenario using a conventional approach and estimated OPE-NAV and OPE-MM positions
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