Collaborative Autonomy Dynamic Resource Management for Electronic Counter Measures (ECM) (CADRE)

Our adversaries are developing advanced networked Integrated Air Defense systems (IADs) that make it increasingly difficult and dangerous to achieve air superiority. To counter these IADs, we have developed autonomy technology that transforms a collection of UAS into an effective warfighting team, capable of conducting operations in contested environments. Our technology has demonstrated performance in live and simulated tests using teams of UAS, each equipped with a Decentralized Asset Manager (DAM) which performs closed-loop dynamic resource management, fuses data from multiple sources, and controls flight, sensors, and effectors. Under this effort, we propose to demonstrate through live flight testing, the CADRE algorithms ability to do multi-platform geo-location of enemy emitters using line-of-bearing (LOB) ESM data, shared among Tiger Shark UAS. We plan to outfit each Tiger Shark with a Toyon ESM sensor to provide the LOB to the active emission source. Advanced algorithms for dynamic resource management based on fusion information will be applied to optimize geo-locating performance. The measure of performance will be time to achieve a desired localization accuracy. The majority of the effort will focus on system integration and live flight testing with Tiger Shark UAS through participation with the NAVAIR RAIDER program.