The Phase 1 effort made significant advances in the development of CONOPs and processing techniques, and demonstrated that a 100x reduction in data link capacity requirements for radar and EO/IR imagery is possible with the use of LSIs RM and automated video frame selection. The objectives of the Phase 2 effort include the further advancement of these CONOPs and techniques, and the demonstration of them with EO/IR FMV from Navy test flights.
Benefit: LSIs current and proposed efforts will provide research and development products that will comprise a complete methodology for optimizing radar sensor operation in a maritime environment within Minotaur to demonstrate a RM and MCA with RM augmented by AI and Bayesian Inference, that includes a mission planning and training capability. The current proposal will successfully integrate new data link bottleneck reduction capabilities with the EO/IR camera under RM control for all of the Navy Minotaur use cases (e.g.,PMA-262, PMA-266, PMA290, PMA-299). Broader transition to PEO (A), Naval Air Systems Command, PEO (U&W), is also planned.
Keywords: link bottleneck, Big Data