What indicators help distinguish a credible threat versus a decoy?

• A. Weather data and sun position.
• B. Correlated multi-sensor tracks, track quality improvements, IFF responses, and behavioral indicators consistent with threat.
• C. Time since detection only.
• D. Random single-sensor detections with no correlation.

Answer: (B)

Distinguishing a credible threat from a decoy relies on cross-checking information from multiple sensors and monitoring how the tracked data evolve over time. When several sensors corroborate the same contact and their measurements align in position, velocity, and predicted continuation, you gain confidence that you’re seeing a real target rather than a fake or misleading signal. As more data come in, the tracking system should improve its confidence—track quality metrics become tighter, residuals shrink, and the track remains coherent across updates. An IFF response adds another layer of certainty, helping verify identity or at least indicate whether the contact has an authenticated identity; decoys typically struggle to produce consistent, believable IFF results. Behavioral indicators—consistent approach patterns, appropriate speed and altitude, and maneuvering that matches known threat profiles—further distinguish a real threat from a decoy, because authentic targets tend to follow plausible flight behaviors over time.

Weather data or sun position don’t inform whether a contact is real; time since detection by itself provides little confirmation without corroboration; random single-sensor detections with no cross-sensor agreement are exactly the kind of signal decoys can generate, offering little credibility.