BRASH stands for which data attributes used in track correlation?

BRASH stands for which data attributes used in track correlation?

• A. Bearing, Range, Altitude, Speed, Heading
• B. Bearing, Range, Attitude, Speed, Heading
• C. Bearing, Range, Altitude, Velocity, Heading
• D. Bearing, Radius, Altitude, Speed, Heading

Answer: (A)

The idea here is to use a compact set of motion-related measurements that let radar tracks from different sensors be linked by checking how a target is located and moving. BRASH stands for Bearing, Range, Altitude, Speed, Heading. Bearing and Range locate the target in the horizontal plane and give distance, Altitude adds vertical position, Speed describes how fast the target is moving, and Heading indicates the direction of travel. Together they form a practical snapshot of a target’s state that can be compared across reports and used to predict future position for correlation. Attitude would describe an object’s orientation, which isn’t used for track correlation. Velocity could be used in some contexts, but BRASH separates the motion into Speed (magnitude) and Heading (direction), rather than bundling them into a single velocity vector. Radius isn’t a standard term in this tracking context; Range already provides the necessary distance component.

The idea here is to use a compact set of motion-related measurements that let radar tracks from different sensors be linked by checking how a target is located and moving. BRASH stands for Bearing, Range, Altitude, Speed, Heading. Bearing and Range locate the target in the horizontal plane and give distance, Altitude adds vertical position, Speed describes how fast the target is moving, and Heading indicates the direction of travel. Together they form a practical snapshot of a target’s state that can be compared across reports and used to predict future position for correlation.

Attitude would describe an object’s orientation, which isn’t used for track correlation. Velocity could be used in some contexts, but BRASH separates the motion into Speed (magnitude) and Heading (direction), rather than bundling them into a single velocity vector. Radius isn’t a standard term in this tracking context; Range already provides the necessary distance component.