Integration of Artificial Intelligence Techniques to Improve the Effectiveness of Electronic Countermeasure Strategies in a Tactical Environment

摘要

A ground-based tactical mission planning system is presented which increases the situational awareness of a pilot planning an offensive counter air attack mission (air-to-ground). The system increases the situational awareness by automating many labor-intensive tasks associated with tactical mission planning such as fuel and time calculations. It allows the pilot to concentrate on the primary objectives of the mission. This system also provides a rich development environment for an electronic warfare engineer designing new (ECM) strategies by providing facilities to alter ECM resources. It incorporates artificial intelligence techniques to increase the user's understanding of the threat environment and how to effectively apply ECM techniques to maximize the probability of a successful mission. It accomplishes these tasks by determining the effectiveness of a mission plan or a new ECM strategy. This thesis investigates the novel integration of four explored ideas to produce such a system: 1) A prototype, interactive, ground-based, tactical mission planning system developed for F-16 pilots of the 17th Air Force. 2) An ECM strategy generation module based on local constraints associated with threats that is patterned after the constraint-directed search techniques applied by Fox for job-shop scheduling; 3) An objective-oriented simulation patterned after ROSS to evaluate the effectiveness of the ECM strategy; and 4) A technique of reasoning about uncertainty to evaluate the ECM strategy.