The BMDS relies on the current and future sensor systems that include space-based, sea-based, ground-based, and airborne sensor systems for tracking, discrimination and fusion. MDA is interested in innovative algorithm concepts for long-range real-time discrimination of ballistic missile threats that use data collected by multiple sensors. The goal is to combine generic sensor data and exploit signature information extracted from sensor data to increase the probability of correctly discriminating objects in a complex debris and countermeasure environment. The overall objective of this project is improving the effectiveness of interceptor usage by increasing the probability of correct identification of target objects.
Keywords: Multi-Sensor, Signature Exploitation, Physics-Based, Discrimination Algorithm, Long Range Sensing, Classification, Threat Modeling, Uncertainty Modeling, Information Theory.
