Automatic Dependent
Surveillance Broadcast (ADS-B) System for Traffic Situational Awareness
Armstrong innovators
have developed an ADS-B system for unmanned aerial vehicles. The system relies
on highly accurate GPS signals to provide increased situational awareness and a
self-separation assurance system to avoid accidents. This state-of-the-art
technology automatically broadcasts a UAV's exact position 120 miles in every
direction every 1 second, as opposed to legacy radar-based transponder systems
that 'sweep' for position every 12 seconds. Accurate to within 5.7 feet,
this
Armstrong-developed technology integrates commercial ADS-B hardware, radio
data-link communications, software algorithms for real-time conflict detecting
and alerting, and a display that employs a geobrowser for three-dimensional
graphical representations. Some
manned aircraft already have adopted ADS-B technology. The
Armstrong team is the first to apply the system architecture to UAVs.
Work to date: In 2012, the team
developed, demonstrated, and validated an ADS-B system integrated
into an unmanned aircraft system for increased situational awareness and
self-separation assurance.
Looking ahead: The team is working to refine the
sense-and-avoid algorithm's conflict detection, trajectory
estimation, and prediction capabilities for self-separation assurance.
Benefits
Improves safety: Enhances sense-and-avoid
capabilities to maintain self-separation for UAVs
Highly accurate and fast: Provides location
data that are accurate to within 5.7 feet every 1 second
Applications
Military missions Border surveillance
and training
Scientific research Law enforcement
Avionics and Instrumentation Technologies
Armstrong innovators design and integrate data acquisition
systems for research, support, and one-of-a-kind platforms. In many cases,
these systems leverage commercial off-the-shelf parts to keep costs low and
ease integration with legacy systems. At the same time, these cutting-edge data
systems are finding innovative ways not only to collect data efficiently but
also to flexibly configure collection parameters.
Designed for aerospace applications, many of these innovations
can benefit numerous industries in a variety of situations where data
optimization is critical, such as manufacturing operations, business processes,
and energy management, to name a few.
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