Preliminary study on estimation of 12.7 x 99 mm caliber projectile using Unscented Kalman Filter method

B. L. Luh Ayu, Erna Apriliani, Hendro Nurhadi*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

The projectile dynamics model is non-linear system. The specifications of projectile used are 12.7 x 99 mm caliber. In the projectile motion, to achieve the target can be estimated by using some estimation methods. In this study, the estimation of 12.7 x 99 mm caliber projectile motion is computed by using Unscented Kalman Filter (UKF) method. In this simulation, we estimate model of the system by measuring each variables position. The estimation results show the performance of UKF and KF in non-linear systems is different, based on their respective characteristics. The final result of this study shows that the error estimation of UKF is 81 % smaller in x-position, 85 % smaller in h-position and ν-position, 84 % smaller in γ-position. UKF performance is very good for non-linear system and the approach with KF algorithm has less optimal result.

Original languageEnglish
Pages (from-to)184-193
Number of pages10
JournalProcedia Computer Science
Volume144
DOIs
Publication statusPublished - 2018
Event3rd International Neural Network Society Conference on Big Data and Deep Learning, INNS BDDL 2018 - Sanur, Bali, Indonesia
Duration: 17 Apr 201819 Apr 2018

Keywords

  • Estimation
  • Projectile Motion
  • Unscented Klaman Filter (UKF)

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