Physics Based Missile Trajectory Discrimination Algorithms

We believe we have an innovative method for discriminating between real incoming missiles and decoys in a cluttered environment. We have developed a method for taking continuous position information and, using a physical model based on Newton's Laws of Motion and advanced mathematics developed in the field of modern control theory, we have developed algorithms and systems for discriminating between different types of physical motions and activities. The system developed was used for recognizing various human hand and body motions - specifically, gesture recognition. Our goal for the Phase I is to demonstrate that the same physics-based algorithms used for discriminating human gestures and behaviors can also be used to track and identify incoming ballistic missiles. While the motions are quite different, the mathematics behind gesture recognition, as shown in Section d, can work in both areas. Therefore, instead of using this gesture recognition for human-computer interaction, we will leverage our work in this area to create a Target Interception using Gesture Recognition (TIGER) system that will identify, track, and predict the course of incoming missiles and associated decoys. The TIGER system will also discriminate between incoming missiles and decoys, in a manner similar to discriminating between similar human-generated gestures.