Intelligent algorithm for tracking highly dynamic aeroballistic objects based on motion trajectory estimates
https://doi.org/10.17586/0021-3454-2024-67-1-20-32
Abstract
The problem of ensuring timely and effective detection and tracking of highly dynamic aeroballistic objects (HDAO) is considered. To improve the accuracy of object tracking by ground-based sensors, a new method is proposed for aggregating predictive estimates of the HDAO trajectory and measurement noise using an ensemble Kalman filter, which implements an approximation using cubic spline interpolation in conjunction with forecasting time sequences. This approach makes it possible to more accurately predict the trajectory of HDAO in nonlinear sections of motion and significantly improves target tracking by ground-based sensors. To confirm the effectiveness of the proposed approach, a mathematical model of the observation system is developed, and the effectiveness of using an ensemble Kalman filter for tracking HDAO is assessed in comparison with a conventional Kalman filter.
About the Authors
N. A. Khodataev
Academician A. L. Mints Radiotechnical Institute
Russian Federation
Russian Federation
Nikolaу A. Khodataev - Scientific and Technical Center for Software and Algorithmic Support; Director of the Center
Moscow
A. V. Timoshenko
Academician A. L. Mints Radiotechnical Institute
Russian Federation
Russian Federation
Alexander V. Timoshenko - Dr. Sci., Professor; Comprehensive Development Management Department; Head of the Department
Moscow
A. M. Kazantsev
Academician A. L. Mints Radiotechnical Institute
Russian Federation
Russian Federation
Andreу M. Kazantsev – PhD; Advanced Development Sector; Leading Engineer
Moscow
A. E. Skosarenko
Academician A. L. Mints Radiotechnical Institute
Russian Federation
Russian Federation
Anton E. Skosarenko - Software Product Managers Department; Software Development Manager
Moscow
References
1. Sarychev M., Bashirov N., Novikova D. Zarubezhnoye voyennoye obozreniye, 2021, no. 9, pp. 28–34. (in Russ.)
2. Timoshenko A.V., Klimenko V.M., Baldychev M.T., Romakhin V.A., Omel'shin A.A. Vestnik vozdushno-kosmicheskoy oborony, 2022, no. 2(34), pp. 118–131. (in Russ.)
3. Ermakov A. New Defense order. Strategy, 2020, no. 5, pp. 70–77.
4. Mizokami K. Say Hello to "Dark Eagle" the Army’s New Hypersonic Weapon, https://www.popularmechanics.com/military/weapons/a37284902/army-hypersonic-missile-dark-eagle.
5. Sayler K.M. Hypersonic Weapons: Background and Issues for Congress, https://crsreports.congress.gov/product/pdf/R/R45811.
6. Markova M.V., Sergunov K.Yu. Vestnik Kontserna VKO "Almaz–Antey", 2017, no. 2, pp. 10–15. (in Russ.)
7. Zhang J., Xiong J., Li L., Xi Q., Chen X., Li F. IEEE Access, 2022, vol. 10, рр. 21095–21108.
8. Kalman R.Е. J. of Basic Engineering, 1960, vol. 82, рр. 35–45.
9. Kalman R.E., Bucy R.S. J. of Basic Engineering, 1961, vol. 83, рр. 95–108.
10. Kaplin A.Yu., Stepanov M.G., Yarmolich A.G. Journal of Instrument Engineering, 2017, no. 4(60), pp. 311–317. (in Russ.)
11. https://habr.com/ru/articles/140274/. (in Russ.)
12. Fissenko V.T., Vilesov L.D., Mozheiko V.I., Fissenko T.Yu. Journal of Instrument Engineering, 2009, no. 8(52), pp. 12–19. (in Russ.)
13. Evensen G. Ocean Dynamics, 2003, vol. 53, рр. 343–367.
14. Katzfuss M., Stroudb J.R., Wiklec C.K. The American Statistician, 2016, no. 4(70), pp. 350–357.
15. Mandel J., Cobb L., Beezley J.D. Appl. Math. (Prague), 2011, no. 6(56), pp. 533–541.
16. Klimova E.G. Numerical Analysis and Applications, 2019, no. 1(22), pp. 26–36. (in Russ.)
Review
For citations:
Khodataev N.A., Timoshenko A.V., Kazantsev A.M., Skosarenko A.E. Intelligent algorithm for tracking highly dynamic aeroballistic objects based on motion trajectory estimates. Journal of Instrument Engineering. 2024;67(1):20-32. (In Russ.) https://doi.org/10.17586/0021-3454-2024-67-1-20-32
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