Title:
Data-Fusion-Approach-for-Altitude-Location-Error.
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Description: Altitude location for UAV by using federated filter
is discussed, the fourth structure is selected, because its two
sub-filters involving altitude sensor and the difference Global
Positioning System (d-GPS) respectively are fully isolated from
each other and thus make the federated filter more fault-tolerant
and better in real-time performance. Data fusion based on this
federated filter was simulated. When the d-GPS is working
normally and simulation results show that values estimated by
data fusion base on federated filter are very close to real values
and the variance of federated filter converges to 10m. When the
electromagnetic environment is very bad, as is usually the case in
war zone, the d-GPS is silent for a long time, variance based on
federated filter converges to 13m, bigger than the 10m.
Compared with previous paper variance based on Kalman
converges to 15m, higher than the 13m. Federated filter can give
much more accurate estimation than Kalman filter.
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Data Fusion Approach for Altitude Location Error.pdf
