Performance analysis of Cubature rule based Kalman filter for target tracking
| Autor: | Vimal Bhatia, Sumanta Kumar Nanda, Abhinoy Kumar Singh |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Turn rate
Mean squared error ComputingMethodologies_SIMULATIONANDMODELING Cubature kalman filter Computer science 010401 analytical chemistry Ballistic missile ComputerApplications_COMPUTERSINOTHERSYSTEMS 020206 networking & telecommunications Rule-based system 02 engineering and technology Kalman filter Tracking (particle physics) 01 natural sciences 0104 chemical sciences Computer Science::Systems and Control Control theory Filter (video) 0202 electrical engineering electronic engineering information engineering |
| Zdroj: | 2020 IEEE 17th India Council International Conference (INDICON). |
| DOI: | 10.1109/indicon49873.2020.9342384 |
| Popis: | In this paper, the Cubature Kalman filter (CKF) is implemented for tracking maneuvering targets such as ballistic missiles, aircraft, etc. Its high accuracy at a relatively low computational cost makes it suitable for real-life applications. The coordinated model is adopted for modeling of the maneuvering targets. The simulation results for this filter are observed for maneuvering targets with varying turn rate. The performance is analyzed in terms of the root mean square error (RMSE) computed over a large number of Monte-Carlo runs. The simulation results reveal a successful tracking of the moving targets using the CKF. From simulations, we observe that RMSE increases with the turn rate. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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