Wind field evaluation by using radar data and vector spline interpolation

IEEE International Conference on Control and Automation, ICCA

Volumn , Issue , 2011, Pages 219-224

  Delahaye, Daniel ^a   Rabut, Christophe ^b   Puechmorel, Stephane ^a  

^a Applied Math Laboratory   (France)

^b UNIVERSITÉ DE TOULOUSE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

AIR SPEED; AIRCRAFT TRAJECTORY; CLOSED FORM; DIRECTION ESTIMATION; GEOSTROPHIC WINDS; HIGH QUALITY; NUMERICAL TESTS; OBSERVABILITY ANALYSIS; RADAR DATA; RADAR TRACK; SHALLOW WATER EQUATIONS; VECTOR SPLINE; WIND DATA; WIND ESTIMATION; WIND FIELD; WIND FIELD ESTIMATION; WIND MAGNITUDES; WIND SENSORS; WIND VECTOR FIELDS;

AIRCRAFT; EQUATIONS OF MOTION; ESTIMATION; NUMERICAL METHODS; OBSERVABILITY;

INTERPOLATION;

EID: 84858975878     PISSN: 19483449     EISSN: 19483457     Source Type: Conference Proceeding    
DOI: 10.1109/ICCA.2011.6138091     Document Type: Conference Paper

References (11)

1. S. E Cohn and T. F Parrish, The behavior of the forcast error covariances for a kalman filter in two dimensions ., Monthly Weather Review 119 (1991), 1757-1785.
2. R. E et al. Cole, Wind prediction accuracy for air traffic management decision support tools, Proceedings of 3th USA-Europe ATM Seminar, FAA-Eurocontrol, 2000.
3. R Dodu and Rabut, Vectorial interpolation using radial-basis-like functions, Computers and mathematics with applications 43 (2002), 393-411.
4. Irrotational or divergence-free interpolation, Numerishe Mathematics 98 (2004), 477-498.
5. H et al. Erzberger, Conflict detection and resolution in the presence of prediction error, Proceedings of 1th USA-Europe ATM Seminar, FAA-Eurocontrol, 1997.
6. S. Grewal, Mohinder and Andrews Angus P, Kalman filtering theory and practice, Prentice Hall, 1993.
7. R. E Kalman, A new approach to linear filtering and prediction problems, Transactions of the ASME-Journal of Basic Engineering 82 (1960), no. Series D, 35-45.
8. C. C Lefas, Improved tracking with mode-s data-linked velocity measurements, IEEE Transactions on Aerospace and Electronic Systems 27 (1991), no. 4, 709-714.
9. S Mondoloni and D Liang, Improving trajectory forecasting through adaptive filtering technique, Proceedings of 5th USA-Europe ATM Seminar, FAA-Eurocontrol, 2003.
10. R. D Richtmyer and K. W Morton, Difference methods for initial-value problems, Krieger Publishing Company, 1994.
11. G. Welch and G Bishop, An introduction to the kalman filter, Tech. report, University of North Carolina. Department of Computer Science, 1995.