Performance Analysis of UAS Detection Technologies Operating in Airport Environment

The steady increase in reports of small unmanned aircraft (UA) in close proximity to airports and manned air traffic is presenting a new challenge for the Federal Aviation Administration (FAA). The safety of the National Air Space (NAS) is the Agency’s responsibility including for identifying possible gaps in safety and addressing them before a significant incident occurs. The FAA is assessing the feasibility of integrating proven UAS mitigation technology at airports, with a focus on evaluating technologies that can detect and track UAS in order to support safe conduct of operations in an airport environment. The Alliance for System Safety of UAS trhrough Research Excellence Center of Excellence (ASSURE COE) will perform post-analysis of data after Airport demonstrations to identify the capabilities, performance characteristics, and limitations of specific instances of UAS detection technologies to assess which technologies demonstrate applicability and/or promise for use in and around the airport environment. This assessment will examine strengths and weaknesses between technology types; how those technology types might perform in differing environments; and examine the potential for combining multiple technologies into a layered solution.

Language

• English

Project

• Status: Completed
• Funding: $248427.2
• Sponsor Organizations:

  Federal Aviation Administration

  800 Independence Avenue, SW
  Washington, DC  United States  20591
• Performing Organizations:

  Mississippi State University, Mississippi State

  2 Research Boulevard
  Mississippi State, MS    39759

  New Mexico State University, Las Cruces

  Las Cruces, NM  United States  88003

  University of North Dakota

  Grand Forks, ND  United States 
• Start Date: 20170329
• Expected Completion Date: 0
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Air traffic control; Airport operations; Airspace (Aeronautics); Aviation safety; Detection and identification systems; Drones; Incident detection; Technological innovations
• Subject Areas: Aviation; Operations and Traffic Management; Safety and Human Factors;

Filing Info

• Accession Number: 01632166
• Record Type: Research project
• Source Agency: Alliance for System Safety of UAS through Research Excellence (ASSURE)
• Files: RIP, USDOT
• Created Date: Apr 5 2017 3:21PM