Automated Space Weather Anomaly Detection & Countermeasure Response

Per USSPACECOM, Space Domain Awareness (SDA) is the current #1 mission requirement and offers a challenge that we aim to help address through this D2P2 effort – “Identify, Characterize, Maintain Custody, and Assess Operational Disposition of all Man-made Objects and Natural Phenomena”. Atlantis Industries, Inc. – The Space Weather Company TM – was founded in 2020 by experienced, battle tested Aerospace technologists and entrepreneurs to meet one part of this challenge. In our internal R&D work over the past 18 months, Atlantis has identified an opportunity for rapid ingestion of Space Weather anomalies for faster countermeasures development to protect on-orbit commercial, civil and DoD satellites from the hazards of natural phenomena or space weather Single Event Effects (SEE). An upset will impact each constellation, satellite, payload and component differently; the effects vary depending on the space weather event, spacecraft and payload design, mission and orbital parameters. Atlantis has patent pending AI/ML technology to rapidly integrate space weather anomalies with design specifications and mission parameters to generate probabilistic SEE models and countermeasures for protecting on-orbit assets. The current state of countermeasure engineering for mission-specific anomaly evaluation and response uses generalized space weather nowcasting with analyst-in-loop threat and vulnerability analysis. Fault isolation and root cause analysis is typically reactive and can take weeks to months. In this effort, Atlantis aims to perform R/R&D to demonstrate the feasibility of our Anomaly Detection and Response System (ADRS) technology (TRL 3/4) to address the bottleneck using our Phalanx AI (TRL 6) algorithms to calculate SEE risk exposure for a given NOAA space weather notice, it’s impact on a specific on-orbit satellite mission payload and generate recommended evasive countermeasures or maneuvers. We plan to measure the ADRS efficacy in speed of anomaly processing, root cause analysis, payload/mission impact analysis and countermeasure generation for overall Mean Time to Respond (MTTR) compared with current practices.