AUTONOMOUS TARGET IDENTIFICATION AND THREAT RESPONSE USING THE COUNTERMEASURE ASSOCIATION TECHNIQUE

THE OBJECTIVES OF THE PROPOSED EFFORT ARE TO INVESTIGATE AND DEVELOP A PRELIMINARY AUTONOMOUS THREAT RESPONSE SYSTEM. THE PROPOSED SYSTEM IS DESIGNED TO COMPLEMENT CURRENT THREAT RESPONSE TECHNIQUES. SPECIFICALLY, THE COUNTERMEASURE ASSOCIATION TECHNIQUE IS DESIGNED TO HANDLE SITUATIONS WHEN THE DETECTED THREATS HAVE NOT BEEN IDENTIFIED BY INTEGRATING SUBJECTIVE AND OBJECTIVE THREAT INFORMATION USING FUZZY SET THEORY AND METHODS OF ARTIFICIAL INTELLIGENCE IN A PROCEDURE WHICH CHOOSE A SET OF COUNTERMEASURES ACCORDING TO THE ESTIMATED CM EFFECTIVENESS AGAINST THE DETECTED THREAT FEATURES. THE THREAT SIGNATURES INCLUDE THE STANDARD ELINT PARAMETERS AND IR AND/OR EO DISCRIMINATION DATA MADE AVAILABLE BY THE SENSOR SYSTEMS. THE PROPOSED APPROACH IS TO ESTABLISH THREAT FEATURE SETS (TFS'S) WHICH CORRESPOND TO EACH CM. THE TFS'S CONTAIN INFORMATION DESCRIBING THE KINDS OF THREAT SYSTEMS EACH CM IS EFFECTIVE AGAINST. BY COMPARING THE DETECTED THREAT SIGNATURES WITH THE TFS'S STORED IN THE SYSTEM'S DATA BASE, AN EFFECTIVE CM CAN BE RECOMMENDED FOR DEPLOYMENT. FEASIBILITY STUDY AND A SIMPLE DEMONSTRATION IS PROPOSED TO DEMONSTRATE THIS TECHNIQUE.