High Performance Cognitive Run Time Data Compression Techniques

The Missile Defense Agencys (MDA) integrated, layered, Ballistic Missile Defense System utilizes a wide range of networked sensors and ground- and sea-based radars for target detection and tracking. MDA requires advanced data compression techniques to reduce federated and/or distributed simulation data transmission times and storage capacity requirements for highly complex missile defense simulation and test architectures. Antaras proposed innovation will significantly enhance the current state-of-the-artby providing a scalable, cognitive, lossless, real-time, plug-and-play software-solution for compressing large Modeling and Simulation data. Key components of Antaras innovation are: 1) Unified, cognitive, learning, parallel architecture with multiple compression algorithms to maximize the compression rate of a wide-range of large input data; 2) Highly advanced, real-time Linear Prediction and other innovative compression algorithms for Radar and other RF/IF data. Antara will perform bench-testing of the algorithms to show the feasibility of the innovation and create Best Known Practices, tutorials, and tools to enable low-cost and rapid integration of the design to the Objective Simulation Framework. The proposed technology will significantly reduce transmission and downlink times enabling more work to be done in a much shorter duration and substantially reduce storage requirements and associated cost of storage on existing and future COTS hardware.Approved for Public Release | 17-MDA-9395(24 Oct 17)