In steady state tracking, the three-minute window pertains to which concept?

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In steady state tracking, the system builds the target’s motion model from a history of past measurements. The length of that history window matters: a short window makes the estimate sensitive to noise and brief fluctuations, while a long window can introduce lag if the target changes course or speed. A three-minute history window provides enough data to fit a stable, constant-velocity model, smoothing out measurement noise while still staying responsive to typical, non-maneuvering motion. This window lets the tracker predict future position accurately when the target is moving steadily, which is why the three-minute history window concept is the correct idea here.