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Applications of Kalman and Extended Kalman Filtering to Target Tracking | ||
| IRAQI JOURNAL OF STATISTICAL SCIENCES | ||
| Article 1, Volume 6, Issue 1, 2006, Pages 1-14 PDF (0 K) | ||
| DOI: 10.33899/iqjoss.2006.032755 | ||
| Authors | ||
| Basil Y. Thanoon; Basil M.Saied; Khalil S. Al-Wagih | ||
| Abstract | ||
| This study deals with the famous trackers named Kalman and extended Kalman filters. This is introduced by describing the state space representation approach to model the target system. A modification to the state prediction equation of Kalman and extended Kalman filters is given in order to offer an ability of multi-step ahead prediction of the target future position. The problem of missed measurements, with different percentages of missing, is studied and a method to estimate these missed measurements is then suggested. Some simulation experiments are performed and indicated that Kalman filtering techniques are promising when they deal with target tracking problem. | ||
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