CALM – Collision avoidance by limited Maneuvers
CALM allows satellite operators to treat collision warning messages automatically, hence minimizing the risk and maximizing the utilization of the spacecrafts.
Data treatment for short term debris forecasts
CALM (Collision Avoidance by Limited Maneuver) is based on a machine learning algorithm that provides accurate orbital data with quantified uncertainties. The program is trained with a number of accurate orbital data and relies on our own telescope obsevations. This algorithm, when coupled to state-of-the-art orbit propagators and to the NORAD database, provides many orbital data for debris that are suspected to be dangerous and to reduce the uncertainty on their positioning at the time of closest approach.
A key for Space Traffic Management
As the number of low Earth Orbit satellites increases and that their price goes down, the ground based space surveillance network cannot cover the whole set of active satellites anymore. On some crowded orbits, the number of conjunction messages can be as high as 100 per day and per satellite, and the collision avoidance maneuvers remain costly (broadcast interruption, lifetime reduction, ground operation).
We use the space observation data that is available by our scientific partners with our data processing pipeline to cover all orbits and deliver the relevant data to our customer in near real time. This data allows operators to make the right decision whether they should perform a collision avoidance maneuver or not.
The satellite operator dilema
By providing accurate data in near-real time, we enable our customer to make a well-informed decision.