Reference for citation: Khodataev N. А., Timoshenko А. V., Kazantsev А. М., Skosarenko А. Е. Intelligent algorithm for tracking highly dynamic aeroballistic objects based on motion trajectory estimates. Journal of Instrument Engineering. 2024. Vol. 67, N 1. P. 20—32 (in Russian). DOI: 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.

Keywords: ground sensor, tracking, highly dynamic aeroballistic object, analytical model, motion trajectory, ensemble Kalman filter

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