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Characterizing Height-keeping Error Distribution Based on Indirect Observation

Published online by Cambridge University Press:  21 October 2009

Sakae Nagaoka
Sakae Nagaoka
Affiliation:
(Electronic Navigation Research Institute, Tokyo)
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Abstract

Mathematical collision risk models, e.g. the Reich (1966) model, may be useful for evaluating the safety of air traffic control systems. The model requires parameters associated with the navigational errors of aircraft. Among navigational errors the distribution of height-keeping errors (HKE) is of great interest for evaluating the feasibility of reducing the current 2000 ft vertical separation standard above flight level 290 (29000 ft). The distribution is closely related to the probability of vertical overlap which is a key parameter of the collision risk model.

Type
Research Article
Information
The Journal of Navigation , Volume 39 , Issue 3 , September 1986 , pp. 416 - 423
Copyright
Copyright © The Royal Institute of Navigation 1986

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References

REFERENCES

1Akaike, H. (1974). A new look at the statistical model identification. IEEE Trans, on Auto. Cont., AC-19, 716–722.CrossRefGoogle Scholar
2Anderson, E. W. (1965). Is the gaussian distribution normal? This Journal 18, 65.Google Scholar
3Hald, A. (1952). Statistical Theory with Engineering Applications, chapters 21 and 22. New York: John Wiley & Sons Inc.Google Scholar
4Hsu, D. A. (1979). Long tailed distributions for position errors in navigation. Applied Statistics, 28, 62.Google Scholar
5Nagaoka, S., Yoshioka, E. and Muto, T. (1981). A simple radar for navigation accuracy measurements. This Journal 34, 462.Google Scholar
6Nagaoka, S. (1984). The probability of overlap in vertical dimension. This Journal 37, 117.Google Scholar
7Nagaoka, S. (1985). Effects of measurement errors in estimating the probability of vertical overlap. This Journal, 38, 234.Google Scholar
8Rigolizzo, R. (1981). Reduction and analysis of Mode C altitude data collected at high altitudes over the continental United States. FAA/CT-81/53.Google Scholar
9Reich, P. G. (1966). Analysis of long range air traffic systems. This Journal 19, 88, 169, 331.Google Scholar