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The module addresses the essential elements of target tracking in radar systems, including tracking principles, methods, angular resolution, and advanced algorithms. It explains the importance of estimating a target's trajectory and the algorithms used for accurate tracking, especially in multi-target scenarios. The Monopulse technique and Kalman Filters are highlighted as key advancements in providing precise angular measurements and handling measurement noise.
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References
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Final Test
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Term: State Vector
Definition: Representation of the kinematic state (position, velocity, acceleration) of a target at a specific time.
Term: Kalman Filter
Definition: An optimal recursive data processing algorithm used for state estimation in dynamic systems, particularly in radar tracking.
Term: Angular Resolution
Definition: The minimum angular separation between two targets that a radar can distinguish as separate entities.
Term: Monopulse Technique
Definition: A radar method that allows for highly accurate angular measurements of a target within a single radar pulse.
Term: TrackWhileScan (TWS)
Definition: A radar method that enables simultaneous tracking of multiple targets while continuously scanning for new ones.