Which technique helps reduce false alarms from radar data in the BCC?

• A. Cross-sensor corroboration
• B. Visual inspection of all targets
• C. Post-mission weather analysis
• D. Public rumor verification

Answer: (A)

Verifying detections with multiple sensors reduces false alarms by requiring independent confirmation of a target. Radar alone can produce false signals from weather, ground clutter, or noise. When cross-sensor corroboration is used, detections are checked against data from additional sensors or platforms (another radar, infrared, optical trackers, etc.) to see if the same object appears in the same place with a consistent motion. If multiple sensors report a target with matching range, bearing, and velocity, confidence increases and the system is more likely to classify it as real. If there’s no corroboration, the detection is treated as unreliable and can be filtered out, cutting down on false alarms.

Other options aren’t as effective in real-time operations: visually inspecting every target is impractical and slow; post-mission weather analysis happens after the fact and doesn’t prevent real-time false alarms; and checking public rumors has no reliability for mission-critical decisions.