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SpaceSentry Modular TCPED System

Our network of persistent and task-track optical sensors collect near-real-time data in support of space traffic management, safety of flight and anomaly investigation.

Eliminates the need to actively task objects with autonomous and continuous updates to the resident space object (RSO) catalog

L3Harris’ SpaceSentry sensors do not require active tasking to track objects. The approximate data latency for observation files is five minutes, and the sensors are calibrated by a multistep verification and validation process, including comparison to the wide area augmentation system (WAAS). Global coverage allows for overlap between sites to minimize weather interference.

Provides observation data in standard formats ready for use by third party tools

Global coverage allows us to provide observations over the course of your mission track. With the data provided from our global network, L3Harris offers a range of available data products:

Astrometric observations
- Timestamped right ascension/declination (RA/DEC) observations with uncertainty

Photometric observations
- Persistent, multidirectional, red-green-blue (RGB) photometry

Object custody
- Orbit estimate with uncertainty at a specified update cadence

Maneuver event
- Detection and detailed characterization of full maneuver events

Conjunction assessment
- Timestamped close approaches with relative geometry and collision probabilities

Patterns of life
- Long-term characterization of geostationary spacecraft behavior

Allows end users to use native algorithms across desired parts of the processing chain by adopting a modular TCPED system approach

L3Harris has integrated its applied research background with SpaceSentry to form the foundation of a resilient space domain awareness (SDA) data analytics layer across all TCPED activities. We obtain persistent and high-cadence data that enables operational analysts to exploit a variety of techniques, including maneuver detection, tip-and-cue, improved track custody, conjunction assessment and pattern learning of RSO behavior. Our modular TCPED framework allows end users to adopt native algorithms for rapid indigenous innovation. Taking these steps will enable the learning, sharing and application of innovative techniques for global SDA sustainment.

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