Ship Operating Area Adaptive Planning (SOAAP) Algorithms

Deriving optimal positioning solutions for a hybrid Aegis Ballistic Missile Defense (BMD) system comprised of both land-based and sea-based assets poses daunting theoretical and practical challenges. The Scientific Systems Company Inc. team proposes to develop Ship Operating Area Adaptive Planning (SOAAP) algorithms that will include highly effective hybrid Aegis BMD models and methods for deriving optimal locations of hybrid Aegis BMD components, and also realistic multi-raid scenarios for testing and evaluation. The proposed SOAAP algorithms will aid both central BMD control and command and individual systems in efficiently deriving Ship Operating Area (SOA) locations that are optimal with respect to evolving threats and asset locations tasked for protection. The proposed SOAAP algorithms take into account the operational constraints of each sensor asset type, realistic communication constraints, and the predicted multitarget-multisituational probabilistic state estimates and derives optimal yet adaptable Sea-based positioning solutions in real time. The proposed SOAAP technology will derive accurate probability-theoretic tradeoff assessments with respect to the number and types of sensor assets versus asset protection effectiveness. This will be accomplished by evaluating the probability of occurrence of different multi-raid scenarios, assessing the sensors capabilities, and determining the probability of successful engagements for each Aegis BMD firing asset. The project team includes Dr. Ronald Mahler of Lockheed Martin. Lockheed Martin will provide both technical and commercialization support in the application of the Adaptive Planning technologies during all phases of the project.