Adaptive Agent Seeker Field Of View Management (AASFOVM)

"A technical approach is needed that is capable of integrating Infrared (IR) target discrimination with Field of View (FOV) management to produce divert instructions to the missile platform over time. For Kinetic Weapons, Divert means called-for-lateralacceleration relative to interceptor center-line (up-down and right-left). A successful approach should concurrently optimize fuel reserve while positioning the seeker to maintain best fit of target cloud objects in its FOV. FORELL proposes to addressthis problem to develop and test an algorithm utilizing an agent based approach that will optimize kinetic kill vehicle's divert resources while enhancing discrimination and end game kill results. To optimize divert and field of view management perspectivein order to discriminate the target cloud correctly, the IR missile seeker must be capable of initial discovery and keeping the "right objects" in its field of view as it approaches the target cloud. The problem domain includes time constrainedoptimization of intercept and field of view geometry, IR seeker object discrimination and divert fuel conservation. FORELL will develop and demonstrate an algorithm that shows such optimization capability. For commercialization, the AASFOVMM approach isextremely flexible and lends itself very well to the areas of Network Centric Warfare and Distributed Robotics. The Adaptive Agent Seeker Field of View Management (AASFOVM) approach proposed by F