Unmanned Aerial Systems

Supporting The FAA in order to safely integrate UAS into the NAS.

Supporting FAA to identify technical and procedural considerations in interaction between UAS components, such as remote pilot stations and communication links, with existing automation systems and controllers.

Supporting FAA’s efforts in UAS certification process, so that Detect and Avoid (DAA) equipage on UAS can be certified to safely navigate in NAS, via development of minimum operational standards (MOPS) for onboard surveillance system and collision avoidance and guidance system :

  • RTCA SC-228: Minimum Operational Performance Standards for Unmanned Aircraft Systems

  • RTCA SC-147: Traffic Alert & Collision Avoidance System

Investigating system architecture model development for complete situational awareness by fusing information from multiple surveillance sources including primary on-board radars, ADS-B, active surveillance, and electro optiic sensors.

Advised FAA on required sensor payload for UAS, and developed sensor simulators for primary radar, ADS-B and active interrogator.

Developing and analyzing various state-of-the-art trackers. Tracker included as example tracker in RTCA SC-228 MOPS document for Phase I UAS operations in NAS.

Studying airborne guidance and collision avoidance algorithms to evaluate system’s performance with respect to issuing reliable and timely collision avoidance alerts and guidance to remote pilot

  • Traffic Collision Avoidance System (TCAS),

  • Airborne Collision Avoidance System Xu (ACAS Xu), and

  • Detect and Avoid Alerting Logic for Unmanned Systems (DAIDALUS).