Detect and Avoid Certification Environment for Unmanned Air Vehicles (UAVs)

The objective of this project is to develop a comprehensive suite of tools, called the DAA Radar Software Suite and Simulation (DAA-RSSS), that supports future Navy procurement and certification of non-cooperative sensor technologies for Detect And Avoid (DAA) as well as develop plans to support EO/IR sensors as the non-cooperative sensor as informed by FAA activities in developing Minimum Operating Performance Specifications. The Navy self-certifies DAA systems to operate in both civil and military airspace and therefore has the responsibility to effectively and efficiently procure systems that it can certify after development. The requirements and evidence required for certification has not been completely formalized. The dilemma is that efficient cost-effective procurements require upfront understanding of certification process and evidence requirements. Tools are needed to perform analysis that connect performance to requirements within the Size Weight and Power Cooling (SWaPC) and maneuver limits of the particular UAV throughout the procurement process beginning during pre-award. This dictates the need for Variable Fidelity (VF) radar simulation with lower fidelities being used up front decisions and higher fidelities for development and certification. In addition, a rich set of scenarios must be available for requirements development and performance compliance.