INTELLIGENT ALGORITHM FOR TRACKING HIGHLY DYNAMIC AEROBALLISTIC OBJECTS BASED ON MOTION TRAJECTORY ESTIMATES
Annotation
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
Постоянный URL
Articles in current issue
- CHECKERS OF SELF-DUAL AND "CLOSE IN MEANING" SIGNALS
- INTELLIGENT ALGORITHM FOR TRACKING HIGHLY DYNAMIC AEROBALLISTIC OBJECTS BASED ON MOTION TRAJECTORY ESTIMATES
- ARCHITECTURE OF A FAULT-TOLERANT DISTRIBUTED CONTROL SYSTEM FOR THE SamSat-ION NANOSATELLITE
- PREDICTOR-BASED REGULATORS FOR SUBORDINATE CONTROL OF REGULATED AND TRACKING ELECTRIC DRIVES
- ESTIMATION OF A DYNAMIC OBJECT LOCATION IN DENSE AND HIGH-RISE URBAN DEVELOPMENT USING AUXILIARY INFORMATION
- ALGORITHM FOR DETECTING FAILURES OF AN INERTIAL NAVIGATION SYSTEM ON AN UNMANNED SURFACE VESSEL
- PROTOTYPE OF MONITORING SYSTEM WITH POWER SUPPLY VIA OPTICAL FIBER
- STUDY OF MICROBENDING PARAMETERS OF SINGLE-MODE OPTICAL FIBER FOR MASS SENSORS