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Papers & Presentations

  • NASA Armstrong Flight Research Center, Edwards, CA: “µADS-B Flight Tests on Phantom 4 Unmanned Aircraft System.” Arteaga, Ricardo, et al. 2017. 17p. – Link [PDF]
    • Researchers at the National Aeronautics and Space Administration Armstrong Flight Research Center (Edwards, California) and Vigilant Aerospace Systems collaborated for the flight test demonstration of the Automatic Dependent Surveillance Broadcast (ADS-B) based collision avoidance technology with the uAvionix ADS-B Transponder (model Ping2020). The purpose of the testing is to demonstrate that NASA/Vigilant software and algorithms are compatible with uAvionix hardware systems and the DJI (Dà-Jiāng Innovations Science and Technology Co., Ltd, Shenzhen, Guangdong) Phantom 4 Unmanned Aerial System (UAS). The testing and demonstrations are necessary for both parties to further development and certification of the technology in three key areas: flights beyond line of sight, collision avoidance, and autonomous operations…
  • Federal Laboratory Consortium National Meeting, Federal Laboratory Consortium: “Detect-and-Avoid System with ADS-B Avionics for Unmanned Aerial Systems.” Arteaga, Ricardo. 2017 April 25. 1p. – Link [PDF]
    • Presentation poster for the FLC National Meeting outlining the FlightHorizon ADS-B detect-and-avoid system, technology transfer, and benefits to the aviation industry. 
  • NASA Armstrong Flight Research Center, Edwards, CA: “Automatic Dependent Surveillance Broadcast: ADS-B Sense-and-Avoid System.” Arteaga, Ricardo. 2016 June 13. 38p. – Link [PDF]
    • Presentation outlining the FlightHorizon ADS-B, NASA research and testing of detect-and-avoid software for unmanned systems.
  • AIAA Flight Testing Conference, AIAA Aviation Forum: “Application of an ADS-B Sense and Avoid Algorithm.” Arteaga, Cavalin, Dandachy and Kotcher. (AIAA 2016-3651): 2016 June 13. 20p. – Link [PDF]
    • The National Aeronautics and Space Administration Armstrong Flight Research Center in Edwards, California is leading a program aimed towards integrating unmanned aircraft system into the national airspace system(UAS in the NAS). The overarching goal of the program is to reduce technical barriers associated with related safety issues as well as addressing challenges that will allow UAS routine access to the national airspace. This research paper focuses on three novel ideas: (1) A design of an integrated UAS equipped with Automatic Dependent Surveillance-Broadcast that constructs a more accurate state-based airspace model; (2) The use of Stratway Algorithm in a real-time environment; and (3) The verification and validation of sense and avoid performance and usability test results which provide a pilot’s perspective on how our system will benefit the UAS in the NAS program for both piloted and unmanned aircraft.
  • Conference on Systems Engineering Research: “ADS-B Flight Tests on Ikhana Unmanned Aircraft System.” Arteaga, Dandachy, Koshimoto, Kim and Strongrich; 2014. 15p. – Link [PDF]
    • Researchers at the National Aeronautics and Space Administration Dryden Flight Research Center (Edwards, California) have developed and flight-tested an Automatic Dependent Surveillance-Broadcast (ADS-B) system on the Ikhana (MQ-9 Predator) (General Atomics Aeronautical Systems Incorporated, San Diego, California) Unmanned Aircraft System (UAS). The present invention proposes a system architecture that integrates ADS-B surveillance technology to an unmanned aircraft system, with improved communications and sophisticated display capabilities to provide increased situational awareness and a self-separation assurance system to avoid accidents. In general, ADS-B Out refers to an appropriately equipped aircraft broadcasting ownship state information. ADS-B In refers to an appropriately equipped ability of the aircraft to receive and display ADS-B information from other aircraft. The ADS-B system architecture is especially suited for UASs because it integrates: 1) commercial off the shelf modified ADS-B hardware; 2) radio data-link communications; 3) redundancy of ADS-B data and hazardous weather data via secure internet communication; 4) software algorithms for real-time ADS-B data integration, conflict detection, and alerting; and 5) a synthetic vision display using a fully-integrated geobrowser for three dimensional graphical representations for ownship and air traffic situational awareness.

Patent

  • “Automatic Dependent Surveillance Broadcast (ADS-B) System for Ownership and Traffic Situational Awareness.” Arteaga, Ricardo. Patent 9,405,005. 2016 Aug 2. – Link [PDF]

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