A split target detection and tracking algorithm for ballistic missile tracking during the re-entry phase
| Autor: | Muhammad Hassham Hassan Bin Asad, Ihsanullah, Sumair Khan, Uzair Khan, Zahid Mehmood, Sufyan Ali Memon, Yifang Shi |
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| Rok vydání: | 2020 |
| Předmět: |
Mean squared error
Computer science Ballistic missile Mechanical Engineering JIPDA Metals and Alloys Computational Mechanics Probabilistic logic Process (computing) Tracking (particle physics) Data association Task (computing) Military Science Ceramics and Composites Clutter Split event probability Estimation Algorithm Event (probability theory) |
| Zdroj: | Defence Technology, Vol 16, Iss 6, Pp 1142-1150 (2020) |
| ISSN: | 2214-9147 |
| DOI: | 10.1016/j.dt.2019.12.008 |
| Popis: | In the re-entry phase of a ballistic missile, decoys can be deployed as a mean to overburden enemy defenses. This results in a single track being split into multiple track-lets. Tracking of these track-lets is a critical task as any miss in the tracking procedure can become a cause of a major threat. The tracking process becomes more complicated in the presence of clutter. The low detection rate is one of the factors that may contribute to increasing the difficulty level in terms of tracking in the cluttered environment. This work introduces a new algorithm for the split event detection and target tracking under the framework of the joint integrated probabilistic data association (JIPDA) algorithm. The proposed algorithm is termed as split event-JIPDA (SE-JIPDA). This work establishes the mathematical foundation for the split target detection and tracking mechanism. The performance analysis is made under different simulation conditions to provide a clear insight into the merits of the proposed algorithm. The performance parameters in these simulations are the root mean square error (RMSE), confirmed true track rate (CTTR) and confirmed split true track rate (CSTTR). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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