Model Based Decision Support System for Defensive Counterspace

Period of Performance: 04/17/2007 - 04/10/2008


Phase 1 SBIR

Recipient Firm

Princeton Satellite Systems
6 Market St. Suite 926
Plainsboro, NJ 08536
Principal Investigator


Defensive counter space requires spacecraft operators to make decisions based on remotely collected data in rapidly evolving situations. This proposal is for an innovative model-based automated resource management system that combines data, both raw and processed through data fusion algorithms, in an evolving model based framework. Emphasis is placed on stealth threats when an opponent tries to mimic spacecraft failures. The model based framework both gives operators physical intuition into the dynamical system and also helps them evaluate the incoming data to facilitate decision making and reduce response time. The framework is presented graphically to the operators through a variety of tools designed to speed situational awareness, leveraging PSS experience in satellite operations and their newly developed data visualization and command application, VisualCommander. The Unscented Kalman Filter (UKF) will be used as a basis for the numerical models. The UKF employs a full nonlinear simulation of the spacecraft, spacecraft subsystem, threat spacecraft or other system and updates the state and parameters using telemetry data. In this way the parameters and states are tuned to the operating spacecraft. Phase I will result in a working prototype of resource management tools for JDL Levels 0 and 1.