This invention describes a method for anti-aircraft guns to shoot down incoming aerial targets. It works by continuously tracking the target, estimating its speed and position, and then predicting its future path. Uniquely, it tries to model the target's own steering behavior and calculates the acceleration the target would need to hit the protected object. The claims focus on a specific way to model the target's guidance, using its observed acceleration and predicted time to impact, while also considering its maximum possible acceleration.
Why it matters: Filed before advanced machine learning for real-time target behavior prediction was mature. The claims' focus on modeling target guidance could now leverage AI to adaptively learn and predict complex aerial maneuvers.
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