Comparison of Ensemble Kalman Filters with Unscented Kalman Filters for Estimating Motion of Moving Projectile Shooter

The projectile is the part of the bullet that glides through the air toward the target due to the thermal expansion that occurs in the sleeve. In the military field, one of the projectiles that are often used in firearms over war vehicles on land is a 12.7 × 99 mm caliber projectile. In this study, the conditions used are projectiles fired from tanks that move straight toward the target by providing variations in firing angle and variations in tank speed. In a very fast projectile motion, we need an estimator to determine the trajectory of the projectile. Estimation methods used are Ensemble Kalman Filter and Unscented Kalman Filter because the model in this study is non-linear. Where the two methods will be compared to find the optimal estimation results. Estimation results are said to be optimal if it produces an error value of less than 10%. The simulation results show that the Unscented Kalman Filter can provide more accurate results than the Ensemble Kalman Filter in estimating projectile trajectories. This is indicated by the level of accuracy of Unscented Kalman Filter of 99.9995% at position x, 99.8381% at position y, and 93.1034%