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- W2330223533 abstract "By estimating and extrapolating the time rate of change of the ground speed error of a commercial aircraft in the enroute cruise flight phase, it is hypothesized that path-distance prediction accuracy may be improved by about five percent. To explore this hypothesis, a ground-speed error-rate estimation algorithm has been developed and tested. The algorithm is a standard Kalman Filter formulation based upon a low-order dynamic aircraft model with an augmented state for estimating the ground speed error-rate. The method is tested for several cases with data obtained from a flight test of a NASA Lear Jet aircraft in the Denver Center. Although the presented estimation method does improve path distance prediction accuracy for the flight test data considered, the low-order dynamic modeling employed in the filter design, the poor quality of surveillance data, and the physical nature of the ground speed error rate are such that the accuracy improvement is only a few percent." @default.
- W2330223533 created "2016-06-24" @default.
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- W2330223533 date "1997-08-11" @default.
- W2330223533 modified "2023-09-26" @default.
- W2330223533 title "Ground speed error rate estimation for improved enroute aircraft trajectory prediction" @default.
- W2330223533 cites W1578129040 @default.
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- W2330223533 doi "https://doi.org/10.2514/6.1997-3544" @default.
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