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Calibration Techniques for a New Space Radar Cassegrain Antenna Pointing System
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| 5.87 MB | Adobe PDF |
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Resumo(s)
This master thesis investigates the suitability of the radar system located in Pampilhosa da Serra for integration
into Ballistic Missile Defense Systems (BMDS). At the core of this study is an advanced simulation developed in
MATLAB, meticulously designed to capture the intricacies of missile trajectories and the challenges in tracking
them using radar systems. Through a series of simulated scenarios, the study explored the performance of the
Extended Kalman Filter (EKF) in tracking missiles. Key performance metrics, including the Root Mean Square
Error (RMSE), Mean Absolute Error (MAE), and Normalized Estimation Error Squared (NEES), were used to
assess the tracking accuracy. Notably, in optimized radar configurations, RMSE values dropped to as low as 41
meters, MAE reduced to 37 meters, and NEES significantly improved to around 1.5. These metrics underscore the
profound impact of radar specifications on tracking precision and suggest the potential efficacy of the Pampilhosa
da Serra radar system in BMDS applications when appropriately configured.
Descrição
Palavras-chave
Ballistic Missile Defense Systems Radar System Extended Kalman Filter MATLAB Simulation Tracking Ac curacy RMSE MAE NEES.
Contexto Educativo
Citação
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Licença CC
Sem licença CC