Hostname: page-component-848d4c4894-xm8r8 Total loading time: 0 Render date: 2024-06-26T06:11:31.186Z Has data issue: false hasContentIssue false

Kalman Filter Techniques in Marine Integrated Navigation Systems

Published online by Cambridge University Press:  23 November 2009

M. J. Dove
Affiliation:
(Southampton College of Technology)

Extract

Anyone concerned with navigation, be he practising navigator, design or development engineer, teacher, or amateur yachtsman, will be aware that the great majority of developments took place prior to Captain Cook's epic voyages (1768–1779) or after 1904 when the first radio time signals were transmitted. During the first period the science of astro-navigation had been developed and such aids as log, chronometer, sextant and Nautical Almanac were available. The methods developed during that period differ very little from the traditional methods which are still in use today.

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 1977

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

1Kennedy, P. A. (1973). Integrated navigation (lecture to S.W. Branch of the Nautical Institute).Google Scholar
2Hampton, D. J. (1967). All-weather landing instruments—a state-of-the-art survey, Sperry Flight Systems Division Internal Report.Google Scholar
3Hampton, D. J. Automated cruise management—a future concept jot guidance and control marine transportation systems, 3rd Ship Control Symposium, Bath.Google Scholar
4Holder, L. A. (1975). Trainingfor automated vessels, Symposium on Nautical Education and Training, City University, London.Google Scholar
5Zuidweg, J. K. (1970). Automatic guidance of ships as a control problem (Ph.D. thesis, Delft Technological University).Google Scholar
6Dove, M. J. (1974). Automatic control of large ships in pilotage and berthing. This Journal, 27, 519.Google Scholar
7Kalnian, R. E. and Bucy, R. S. (1961). New results in linear filtering and prediction theory, Journal of Basic Engineering, March.CrossRefGoogle Scholar
8Cooper, G. R. and McGillem, C. D.Probalistic methods of signal systems analysis, H.R.W. Series in Electrical Engineering, Electronics and Systems.Google Scholar
9Laning, J. H. and Battin, R. H.Random processes in automatic control, McGraw-Hill Book Co. Inc.Google Scholar
10Weiner, N. (1949). Extrapolation, interpolation and smoothing of stationary time series, John Wiley & Sons, New York.CrossRefGoogle Scholar
11Brown, R. G. and Hagerman, L. L. (1949). An optimum inertial/doppler-satellite navigation system, Navigation (USA), 16, 3.CrossRefGoogle Scholar
12Halamandoris, H. and Ozdes, D. A Kalman filter augmented marine navigation system, Theory and Application of Kalman Filtering, Nato Advisory Group for Aerospace Research and Development.Google Scholar